MCP Agent Toolkit
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Agent ToolkitSave the final code artifact to the blackboard"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Agent Toolkit
An MCP (Model Context Protocol) server that exposes production agent-kernel tools — blackboard shared state, SCAR failure memory, and LLM response cache — as standard MCP tools any Claude or GPT agent can call.
What it does
Connects the three core reliability patterns from 18 months of building production multi-agent systems into a single MCP server:
Tool Group | Tools | What it solves |
Blackboard |
| Shared agent state without direct coupling |
SCAR Memory |
| Repeated failure prevention — find the known fix before retrying |
Response Cache |
| Stop paying twice for identical LLM requests |
Related MCP server: Shared Memory MCP Server
Quick start
npm install
npm startThe server runs on stdio — standard MCP transport that works with Claude Desktop, Claude Code, and any MCP-compatible client.
Use with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"agent-toolkit": {
"command": "node",
"args": ["/path/to/mcp-agent-toolkit/src/server.js"]
}
}
}Tool reference
Blackboard
blackboard_write(run_id, agent, key, value) — persist an artifact
blackboard_read(run_id, agent, key) — read latest artifact
blackboard_list(run_id, agent) — list all keys for an agentAgents communicate through the blackboard, never directly. The Coder writes code. The Auditor reads code. If either fails and retries, the other's work is still in SQLite.
SCAR Memory
scar_lookup(agent, error_type, context?) — retrieve known resolution
scar_record(agent, error_type, resolution, context?) — store a new resolutionWhen an agent hits JSONDecodeError and you fixed it with json_repair(), record it. Next time any agent hits the same error in the same context, scar_lookup returns the fix before the retry loop starts.
Response Cache
cache_get(messages, model) — check cache before calling LLM
cache_set(messages, model, response, provider) — store response after callSHA-256 hashes the messages + model into a cache key. Identical requests never hit the API twice.
Tests
npm test13 tests covering blackboard isolation, SCAR round-trips, and cache hit/miss behavior.
Stack
MCP SDK (
@modelcontextprotocol/sdk) — the official Anthropic MCP server librarynode:sqlite — Node.js 22 built-in synchronous SQLite, zero native compilation
stdio transport — standard MCP pattern, works with any client
Related repos
agent-scars — standalone SCAR pattern
agent-recall — solution memory
equilibrium — the AgentKernel these patterns came from
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/shubham0086/mcp-agent-toolkit'
If you have feedback or need assistance with the MCP directory API, please join our Discord server