v3 mcp optimization

仓库: ruvnet/claude-flow
安装量: 42
排名: #17445

安装

npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill 'V3 MCP Optimization'

V3 MCP Optimization What This Skill Does Optimizes claude-flow v3 MCP (Model Context Protocol) server implementation with advanced transport layer optimizations, connection pooling, load balancing, and comprehensive performance monitoring to achieve sub-100ms response times. Quick Start

Initialize MCP optimization analysis

Task ( "MCP architecture" , "Analyze current MCP server performance and bottlenecks" , "mcp-specialist" )

Optimization implementation (parallel)

Task
(
"Connection pooling"
,
"Implement MCP connection pooling and reuse"
,
"mcp-specialist"
)
Task
(
"Load balancing"
,
"Add dynamic load balancing for MCP tools"
,
"mcp-specialist"
)
Task
(
"Transport optimization"
,
"Optimize transport layer performance"
,
"mcp-specialist"
)
MCP Performance Architecture
Current State Analysis
Current MCP Issues:
├── Cold Start Latency: ~1.8s MCP server init
├── Connection Overhead: New connection per request
├── Tool Registry: Linear search O(n) for 213+ tools
├── Transport Layer: No connection reuse
└── Memory Usage: No cleanup of idle connections
Target Performance:
├── Startup Time: <400ms (4.5x improvement)
├── Tool Lookup: <5ms (O(1) hash table)
├── Connection Reuse: 90%+ connection pool hits
├── Response Time: <100ms p95
└── Memory Efficiency: 50% reduction
MCP Server Architecture
// src/core/mcp/mcp-server.ts
import
{
Server
}
from
'@modelcontextprotocol/sdk/server/index.js'
;
import
{
StdioServerTransport
}
from
'@modelcontextprotocol/sdk/server/stdio.js'
;
interface
OptimizedMCPConfig
{
// Connection pooling
maxConnections
:
number
;
idleTimeoutMs
:
number
;
connectionReuseEnabled
:
boolean
;
// Tool registry
toolCacheEnabled
:
boolean
;
toolIndexType
:
'hash'
|
'trie'
;
// Performance
requestTimeoutMs
:
number
;
batchingEnabled
:
boolean
;
compressionEnabled
:
boolean
;
// Monitoring
metricsEnabled
:
boolean
;
healthCheckIntervalMs
:
number
;
}
export
class
OptimizedMCPServer
{
private
server
:
Server
;
private
connectionPool
:
ConnectionPool
;
private
toolRegistry
:
FastToolRegistry
;
private
loadBalancer
:
MCPLoadBalancer
;
private
metrics
:
MCPMetrics
;
constructor
(
config
:
OptimizedMCPConfig
)
{
this
.
server
=
new
Server
(
{
name
:
'claude-flow-v3'
,
version
:
'3.0.0'
}
,
{
capabilities
:
{
tools
:
{
listChanged
:
true
}
,
resources
:
{
subscribe
:
true
,
listChanged
:
true
}
,
prompts
:
{
listChanged
:
true
}
}
}
)
;
this
.
connectionPool
=
new
ConnectionPool
(
config
)
;
this
.
toolRegistry
=
new
FastToolRegistry
(
config
.
toolIndexType
)
;
this
.
loadBalancer
=
new
MCPLoadBalancer
(
)
;
this
.
metrics
=
new
MCPMetrics
(
config
.
metricsEnabled
)
;
}
async
start
(
)
:
Promise
<
void
>
{
// Pre-warm connection pool
await
this
.
connectionPool
.
preWarm
(
)
;
// Pre-build tool index
await
this
.
toolRegistry
.
buildIndex
(
)
;
// Setup request handlers with optimizations
this
.
setupOptimizedHandlers
(
)
;
// Start health monitoring
this
.
startHealthMonitoring
(
)
;
// Start server
const
transport
=
new
StdioServerTransport
(
)
;
await
this
.
server
.
connect
(
transport
)
;
this
.
metrics
.
recordStartup
(
)
;
}
}
Connection Pool Implementation
Advanced Connection Pooling
// src/core/mcp/connection-pool.ts
interface
PooledConnection
{
id
:
string
;
connection
:
MCPConnection
;
lastUsed
:
number
;
usageCount
:
number
;
isHealthy
:
boolean
;
}
export
class
ConnectionPool
{
private
pool
:
Map
<
string
,
PooledConnection
>
=
new
Map
(
)
;
private
readonly
config
:
ConnectionPoolConfig
;
private
healthChecker
:
HealthChecker
;
constructor
(
config
:
ConnectionPoolConfig
)
{
this
.
config
=
{
maxConnections
:
50
,
minConnections
:
5
,
idleTimeoutMs
:
300000
,
// 5 minutes
maxUsageCount
:
1000
,
healthCheckIntervalMs
:
30000
,
...
config
}
;
this
.
healthChecker
=
new
HealthChecker
(
this
.
config
.
healthCheckIntervalMs
)
;
}
async
getConnection
(
endpoint
:
string
)
:
Promise
<
MCPConnection
>
{
const
start
=
performance
.
now
(
)
;
// Try to get from pool first
const
pooled
=
this
.
findAvailableConnection
(
endpoint
)
;
if
(
pooled
)
{
pooled
.
lastUsed
=
Date
.
now
(
)
;
pooled
.
usageCount
++
;
this
.
recordMetric
(
'pool_hit'
,
performance
.
now
(
)
-
start
)
;
return
pooled
.
connection
;
}
// Check pool capacity
if
(
this
.
pool
.
size
>=
this
.
config
.
maxConnections
)
{
await
this
.
evictLeastUsedConnection
(
)
;
}
// Create new connection
const
connection
=
await
this
.
createConnection
(
endpoint
)
;
const
pooledConn
:
PooledConnection
=
{
id
:
this
.
generateConnectionId
(
)
,
connection
,
lastUsed
:
Date
.
now
(
)
,
usageCount
:
1
,
isHealthy
:
true
}
;
this
.
pool
.
set
(
pooledConn
.
id
,
pooledConn
)
;
this
.
recordMetric
(
'pool_miss'
,
performance
.
now
(
)
-
start
)
;
return
connection
;
}
async
releaseConnection
(
connection
:
MCPConnection
)
:
Promise
<
void
>
{
// Mark connection as available for reuse
const
pooled
=
this
.
findConnectionById
(
connection
.
id
)
;
if
(
pooled
)
{
// Check if connection should be retired
if
(
pooled
.
usageCount
>=
this
.
config
.
maxUsageCount
)
{
await
this
.
removeConnection
(
pooled
.
id
)
;
}
}
}
async
preWarm
(
)
:
Promise
<
void
>
{
const
connections
:
Promise
<
MCPConnection
>
[
]
=
[
]
;
for
(
let
i
=
0
;
i
<
this
.
config
.
minConnections
;
i
++
)
{
connections
.
push
(
this
.
createConnection
(
'default'
)
)
;
}
await
Promise
.
all
(
connections
)
;
}
private
async
evictLeastUsedConnection
(
)
:
Promise
<
void
>
{
let
oldestConn
:
PooledConnection
|
null
=
null
;
let
oldestTime
=
Date
.
now
(
)
;
for
(
const
conn
of
this
.
pool
.
values
(
)
)
{
if
(
conn
.
lastUsed
<
oldestTime
)
{
oldestTime
=
conn
.
lastUsed
;
oldestConn
=
conn
;
}
}
if
(
oldestConn
)
{
await
this
.
removeConnection
(
oldestConn
.
id
)
;
}
}
private
findAvailableConnection
(
endpoint
:
string
)
:
PooledConnection
|
null
{
for
(
const
conn
of
this
.
pool
.
values
(
)
)
{
if
(
conn
.
isHealthy
&&
conn
.
connection
.
endpoint
===
endpoint
&&
Date
.
now
(
)
-
conn
.
lastUsed
<
this
.
config
.
idleTimeoutMs
)
{
return
conn
;
}
}
return
null
;
}
}
Fast Tool Registry
O(1) Tool Lookup Implementation
// src/core/mcp/fast-tool-registry.ts
interface
ToolIndexEntry
{
name
:
string
;
handler
:
ToolHandler
;
metadata
:
ToolMetadata
;
usageCount
:
number
;
avgLatencyMs
:
number
;
}
export
class
FastToolRegistry
{
private
toolIndex
:
Map
<
string
,
ToolIndexEntry
>
=
new
Map
(
)
;
private
categoryIndex
:
Map
<
string
,
string
[
]
>
=
new
Map
(
)
;
private
fuzzyMatcher
:
FuzzyMatcher
;
private
cache
:
LRUCache
<
string
,
ToolIndexEntry
>
;
constructor
(
indexType
:
'hash'
|
'trie'
=
'hash'
)
{
this
.
fuzzyMatcher
=
new
FuzzyMatcher
(
)
;
this
.
cache
=
new
LRUCache
<
string
,
ToolIndexEntry
>
(
1000
)
;
// Cache 1000 most used tools
}
async
buildIndex
(
)
:
Promise
<
void
>
{
const
start
=
performance
.
now
(
)
;
// Load all available tools
const
tools
=
await
this
.
loadAllTools
(
)
;
// Build hash index for O(1) lookup
for
(
const
tool
of
tools
)
{
const
entry
:
ToolIndexEntry
=
{
name
:
tool
.
name
,
handler
:
tool
.
handler
,
metadata
:
tool
.
metadata
,
usageCount
:
0
,
avgLatencyMs
:
0
}
;
this
.
toolIndex
.
set
(
tool
.
name
,
entry
)
;
// Build category index
const
category
=
tool
.
metadata
.
category
||
'general'
;
if
(
!
this
.
categoryIndex
.
has
(
category
)
)
{
this
.
categoryIndex
.
set
(
category
,
[
]
)
;
}
this
.
categoryIndex
.
get
(
category
)
!
.
push
(
tool
.
name
)
;
}
// Build fuzzy search index
await
this
.
fuzzyMatcher
.
buildIndex
(
tools
.
map
(
t
=>
t
.
name
)
)
;
console
.
log
(
`
Tool index built in
${
(
performance
.
now
(
)
-
start
)
.
toFixed
(
2
)
}
ms for
${
tools
.
length
}
tools
`
)
;
}
findTool
(
name
:
string
)
:
ToolIndexEntry
|
null
{
// Try cache first
const
cached
=
this
.
cache
.
get
(
name
)
;
if
(
cached
)
return
cached
;
// Try exact match
const
exact
=
this
.
toolIndex
.
get
(
name
)
;
if
(
exact
)
{
this
.
cache
.
set
(
name
,
exact
)
;
return
exact
;
}
// Try fuzzy match
const
fuzzyMatches
=
this
.
fuzzyMatcher
.
search
(
name
,
1
)
;
if
(
fuzzyMatches
.
length
>
0
)
{
const
match
=
this
.
toolIndex
.
get
(
fuzzyMatches
[
0
]
)
;
if
(
match
)
{
this
.
cache
.
set
(
name
,
match
)
;
return
match
;
}
}
return
null
;
}
findToolsByCategory
(
category
:
string
)
:
ToolIndexEntry
[
]
{
const
toolNames
=
this
.
categoryIndex
.
get
(
category
)
||
[
]
;
return
toolNames
.
map
(
name
=>
this
.
toolIndex
.
get
(
name
)
)
.
filter
(
entry
=>
entry
!==
undefined
)
as
ToolIndexEntry
[
]
;
}
getMostUsedTools
(
limit
:
number
=
10
)
:
ToolIndexEntry
[
]
{
return
Array
.
from
(
this
.
toolIndex
.
values
(
)
)
.
sort
(
(
a
,
b
)
=>
b
.
usageCount
-
a
.
usageCount
)
.
slice
(
0
,
limit
)
;
}
recordToolUsage
(
toolName
:
string
,
latencyMs
:
number
)
:
void
{
const
entry
=
this
.
toolIndex
.
get
(
toolName
)
;
if
(
entry
)
{
entry
.
usageCount
++
;
// Moving average for latency
entry
.
avgLatencyMs
=
(
entry
.
avgLatencyMs
+
latencyMs
)
/
2
;
}
}
}
Load Balancing & Request Distribution
Intelligent Load Balancer
// src/core/mcp/load-balancer.ts
interface
ServerInstance
{
id
:
string
;
endpoint
:
string
;
load
:
number
;
responseTime
:
number
;
isHealthy
:
boolean
;
maxConnections
:
number
;
currentConnections
:
number
;
}
export
class
MCPLoadBalancer
{
private
servers
:
Map
<
string
,
ServerInstance
>
=
new
Map
(
)
;
private
routingStrategy
:
RoutingStrategy
=
'least-connections'
;
addServer
(
server
:
ServerInstance
)
:
void
{
this
.
servers
.
set
(
server
.
id
,
server
)
;
}
selectServer
(
toolCategory
?
:
string
)
:
ServerInstance
|
null
{
const
healthyServers
=
Array
.
from
(
this
.
servers
.
values
(
)
)
.
filter
(
server
=>
server
.
isHealthy
)
;
if
(
healthyServers
.
length
===
0
)
return
null
;
switch
(
this
.
routingStrategy
)
{
case
'round-robin'
:
return
this
.
roundRobinSelection
(
healthyServers
)
;
case
'least-connections'
:
return
this
.
leastConnectionsSelection
(
healthyServers
)
;
case
'response-time'
:
return
this
.
responseTimeSelection
(
healthyServers
)
;
case
'weighted'
:
return
this
.
weightedSelection
(
healthyServers
,
toolCategory
)
;
default
:
return
healthyServers
[
0
]
;
}
}
private
leastConnectionsSelection
(
servers
:
ServerInstance
[
]
)
:
ServerInstance
{
return
servers
.
reduce
(
(
least
,
current
)
=>
current
.
currentConnections
<
least
.
currentConnections
?
current
:
least
)
;
}
private
responseTimeSelection
(
servers
:
ServerInstance
[
]
)
:
ServerInstance
{
return
servers
.
reduce
(
(
fastest
,
current
)
=>
current
.
responseTime
<
fastest
.
responseTime
?
current
:
fastest
)
;
}
private
weightedSelection
(
servers
:
ServerInstance
[
]
,
category
?
:
string
)
:
ServerInstance
{
// Prefer servers with lower load and better response time
const
scored
=
servers
.
map
(
server
=>
(
{
server
,
score
:
this
.
calculateServerScore
(
server
,
category
)
}
)
)
;
scored
.
sort
(
(
a
,
b
)
=>
b
.
score
-
a
.
score
)
;
return
scored
[
0
]
.
server
;
}
private
calculateServerScore
(
server
:
ServerInstance
,
category
?
:
string
)
:
number
{
const
loadFactor
=
1
-
(
server
.
currentConnections
/
server
.
maxConnections
)
;
const
responseFactor
=
1
/
(
server
.
responseTime
+
1
)
;
const
categoryBonus
=
this
.
getCategoryBonus
(
server
,
category
)
;
return
loadFactor
*
0.4
+
responseFactor
*
0.4
+
categoryBonus
*
0.2
;
}
updateServerMetrics
(
serverId
:
string
,
metrics
:
Partial
<
ServerInstance
>
)
:
void
{
const
server
=
this
.
servers
.
get
(
serverId
)
;
if
(
server
)
{
Object
.
assign
(
server
,
metrics
)
;
}
}
}
Transport Layer Optimization
High-Performance Transport
// src/core/mcp/optimized-transport.ts
export
class
OptimizedTransport
{
private
compression
:
boolean
=
true
;
private
batching
:
boolean
=
true
;
private
batchBuffer
:
MCPMessage
[
]
=
[
]
;
private
batchTimeout
:
NodeJS
.
Timeout
|
null
=
null
;
constructor
(
private
config
:
TransportConfig
)
{
}
async
send
(
message
:
MCPMessage
)
:
Promise
<
void
>
{
if
(
this
.
batching
&&
this
.
canBatch
(
message
)
)
{
this
.
addToBatch
(
message
)
;
return
;
}
await
this
.
sendImmediate
(
message
)
;
}
private
async
sendImmediate
(
message
:
MCPMessage
)
:
Promise
<
void
>
{
const
start
=
performance
.
now
(
)
;
// Compress if enabled
const
payload
=
this
.
compression
?
await
this
.
compress
(
message
)
:
message
;
// Send through transport
await
this
.
transport
.
send
(
payload
)
;
// Record metrics
this
.
recordLatency
(
performance
.
now
(
)
-
start
)
;
}
private
addToBatch
(
message
:
MCPMessage
)
:
void
{
this
.
batchBuffer
.
push
(
message
)
;
// Start batch timeout if not already running
if
(
!
this
.
batchTimeout
)
{
this
.
batchTimeout
=
setTimeout
(
(
)
=>
this
.
flushBatch
(
)
,
this
.
config
.
batchTimeoutMs
||
10
)
;
}
// Flush if batch is full
if
(
this
.
batchBuffer
.
length
>=
this
.
config
.
maxBatchSize
)
{
this
.
flushBatch
(
)
;
}
}
private
async
flushBatch
(
)
:
Promise
<
void
>
{
if
(
this
.
batchBuffer
.
length
===
0
)
return
;
const
batch
=
this
.
batchBuffer
.
splice
(
0
)
;
this
.
batchTimeout
=
null
;
// Send as single batched message
await
this
.
sendImmediate
(
{
type
:
'batch'
,
messages
:
batch
}
)
;
}
private
canBatch
(
message
:
MCPMessage
)
:
boolean
{
// Don't batch urgent messages or responses
return
message
.
type
!==
'response'
&&
message
.
priority
!==
'high'
&&
message
.
type
!==
'error'
;
}
private
async
compress
(
data
:
any
)
:
Promise
<
Buffer
>
{
// Use fast compression for smaller messages
return
gzipSync
(
JSON
.
stringify
(
data
)
)
;
}
}
Performance Monitoring
Real-time MCP Metrics
// src/core/mcp/metrics.ts
interface
MCPMetrics
{
requestCount
:
number
;
errorCount
:
number
;
avgResponseTime
:
number
;
p95ResponseTime
:
number
;
connectionPoolHits
:
number
;
connectionPoolMisses
:
number
;
toolLookupTime
:
number
;
startupTime
:
number
;
}
export
class
MCPMetricsCollector
{
private
metrics
:
MCPMetrics
;
private
responseTimeBuffer
:
number
[
]
=
[
]
;
private
readonly
bufferSize
=
1000
;
constructor
(
)
{
this
.
metrics
=
this
.
createInitialMetrics
(
)
;
}
recordRequest
(
latencyMs
:
number
)
:
void
{
this
.
metrics
.
requestCount
++
;
this
.
updateResponseTimes
(
latencyMs
)
;
}
recordError
(
)
:
void
{
this
.
metrics
.
errorCount
++
;
}
recordConnectionPoolHit
(
)
:
void
{
this
.
metrics
.
connectionPoolHits
++
;
}
recordConnectionPoolMiss
(
)
:
void
{
this
.
metrics
.
connectionPoolMisses
++
;
}
recordToolLookup
(
latencyMs
:
number
)
:
void
{
this
.
metrics
.
toolLookupTime
=
this
.
updateMovingAverage
(
this
.
metrics
.
toolLookupTime
,
latencyMs
)
;
}
recordStartup
(
latencyMs
:
number
)
:
void
{
this
.
metrics
.
startupTime
=
latencyMs
;
}
getMetrics
(
)
:
MCPMetrics
{
return
{
...
this
.
metrics
}
;
}
getHealthStatus
(
)
:
HealthStatus
{
const
errorRate
=
this
.
metrics
.
errorCount
/
this
.
metrics
.
requestCount
;
const
poolHitRate
=
this
.
metrics
.
connectionPoolHits
/
(
this
.
metrics
.
connectionPoolHits
+
this
.
metrics
.
connectionPoolMisses
)
;
return
{
status
:
this
.
determineHealthStatus
(
errorRate
,
poolHitRate
)
,
errorRate
,
poolHitRate
,
avgResponseTime
:
this
.
metrics
.
avgResponseTime
,
p95ResponseTime
:
this
.
metrics
.
p95ResponseTime
}
;
}
private
updateResponseTimes
(
latency
:
number
)
:
void
{
this
.
responseTimeBuffer
.
push
(
latency
)
;
if
(
this
.
responseTimeBuffer
.
length
>
this
.
bufferSize
)
{
this
.
responseTimeBuffer
.
shift
(
)
;
}
this
.
metrics
.
avgResponseTime
=
this
.
calculateAverage
(
this
.
responseTimeBuffer
)
;
this
.
metrics
.
p95ResponseTime
=
this
.
calculatePercentile
(
this
.
responseTimeBuffer
,
95
)
;
}
private
calculatePercentile
(
arr
:
number
[
]
,
percentile
:
number
)
:
number
{
const
sorted
=
arr
.
slice
(
)
.
sort
(
(
a
,
b
)
=>
a
-
b
)
;
const
index
=
Math
.
ceil
(
(
percentile
/
100
)
*
sorted
.
length
)
-
1
;
return
sorted
[
index
]
||
0
;
}
private
determineHealthStatus
(
errorRate
:
number
,
poolHitRate
:
number
)
:
'healthy'
|
'warning'
|
'critical'
{
if
(
errorRate
>
0.1
||
poolHitRate
<
0.5
)
return
'critical'
;
if
(
errorRate
>
0.05
||
poolHitRate
<
0.7
)
return
'warning'
;
return
'healthy'
;
}
}
Tool Registry Optimization
Pre-compiled Tool Index
// src/core/mcp/tool-precompiler.ts
export
class
ToolPrecompiler
{
async
precompileTools
(
)
:
Promise
<
CompiledToolRegistry
>
{
const
tools
=
await
this
.
loadAllTools
(
)
;
// Create optimized lookup structures
const
nameIndex
=
new
Map
<
string
,
Tool
>
(
)
;
const
categoryIndex
=
new
Map
<
string
,
Tool
[
]
>
(
)
;
const
fuzzyIndex
=
new
Map
<
string
,
string
[
]
>
(
)
;
for
(
const
tool
of
tools
)
{
// Exact name index
nameIndex
.
set
(
tool
.
name
,
tool
)
;
// Category index
const
category
=
tool
.
metadata
.
category
||
'general'
;
if
(
!
categoryIndex
.
has
(
category
)
)
{
categoryIndex
.
set
(
category
,
[
]
)
;
}
categoryIndex
.
get
(
category
)
!
.
push
(
tool
)
;
// Pre-compute fuzzy variations
const
variations
=
this
.
generateFuzzyVariations
(
tool
.
name
)
;
for
(
const
variation
of
variations
)
{
if
(
!
fuzzyIndex
.
has
(
variation
)
)
{
fuzzyIndex
.
set
(
variation
,
[
]
)
;
}
fuzzyIndex
.
get
(
variation
)
!
.
push
(
tool
.
name
)
;
}
}
return
{
nameIndex
,
categoryIndex
,
fuzzyIndex
,
totalTools
:
tools
.
length
,
compiledAt
:
new
Date
(
)
}
;
}
private
generateFuzzyVariations
(
name
:
string
)
:
string
[
]
{
const
variations
:
string
[
]
=
[
]
;
// Common typos and abbreviations
variations
.
push
(
name
.
toLowerCase
(
)
)
;
variations
.
push
(
name
.
replace
(
/
[
-_
]
/
g
,
''
)
)
;
variations
.
push
(
name
.
replace
(
/
[
aeiou
]
/
gi
,
''
)
)
;
// Consonants only
// Add more fuzzy matching logic as needed
return
variations
;
}
}
Advanced Caching Strategy
Multi-Level Caching
// src/core/mcp/multi-level-cache.ts
export
class
MultiLevelCache
{
private
l1Cache
:
Map
<
string
,
any
>
=
new
Map
(
)
;
// In-memory, fastest
private
l2Cache
:
LRUCache
<
string
,
any
>
;
// LRU cache, larger capacity
private
l3Cache
:
DiskCache
;
// Persistent disk cache
constructor
(
config
:
CacheConfig
)
{
this
.
l2Cache
=
new
LRUCache
<
string
,
any
>
(
{
max
:
config
.
l2MaxEntries
||
10000
,
ttl
:
config
.
l2TTL
||
300000
// 5 minutes
}
)
;
this
.
l3Cache
=
new
DiskCache
(
config
.
l3Path
||
'./.cache/mcp'
)
;
}
async
get
(
key
:
string
)
:
Promise
<
any
|
null
>
{
// Try L1 cache first (fastest)
if
(
this
.
l1Cache
.
has
(
key
)
)
{
return
this
.
l1Cache
.
get
(
key
)
;
}
// Try L2 cache
const
l2Value
=
this
.
l2Cache
.
get
(
key
)
;
if
(
l2Value
)
{
// Promote to L1
this
.
l1Cache
.
set
(
key
,
l2Value
)
;
return
l2Value
;
}
// Try L3 cache (disk)
const
l3Value
=
await
this
.
l3Cache
.
get
(
key
)
;
if
(
l3Value
)
{
// Promote to L2 and L1
this
.
l2Cache
.
set
(
key
,
l3Value
)
;
this
.
l1Cache
.
set
(
key
,
l3Value
)
;
return
l3Value
;
}
return
null
;
}
async
set
(
key
:
string
,
value
:
any
,
options
?
:
CacheOptions
)
:
Promise
<
void
>
{
// Set in all levels
this
.
l1Cache
.
set
(
key
,
value
)
;
this
.
l2Cache
.
set
(
key
,
value
)
;
if
(
options
?.
persistent
)
{
await
this
.
l3Cache
.
set
(
key
,
value
)
;
}
// Manage L1 cache size
if
(
this
.
l1Cache
.
size
>
1000
)
{
const
firstKey
=
this
.
l1Cache
.
keys
(
)
.
next
(
)
.
value
;
this
.
l1Cache
.
delete
(
firstKey
)
;
}
}
}
Success Metrics
Performance Targets
Startup Time
<400ms MCP server initialization (4.5x improvement)
Response Time
<100ms p95 for tool execution
Tool Lookup
<5ms average lookup time
Connection Pool
>90% hit rate
Memory Usage
50% reduction in idle memory
Error Rate
<1% failed requests
Throughput

1000 requests/second Monitoring Dashboards const mcpDashboard = { metrics : [ 'Request latency (p50, p95, p99)' , 'Error rate by tool category' , 'Connection pool utilization' , 'Tool lookup performance' , 'Memory usage trends' , 'Cache hit rates (L1, L2, L3)' ] , alerts : [ 'Response time >200ms for 5 minutes' , 'Error rate >5% for 1 minute' , 'Pool hit rate <70% for 10 minutes' , 'Memory usage >500MB for 5 minutes' ] } ; Related V3 Skills v3-core-implementation - Core domain integration with MCP v3-performance-optimization - Overall performance optimization v3-swarm-coordination - MCP integration with swarm coordination v3-memory-unification - Memory sharing via MCP tools Usage Examples Complete MCP Optimization

Full MCP server optimization

Task ( "MCP optimization implementation" , "Implement all MCP performance optimizations with monitoring" , "mcp-specialist" ) Specific Optimization

Connection pool optimization

Task ( "MCP connection pooling" , "Implement advanced connection pooling with health monitoring" , "mcp-specialist" )

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