MCP Agent Toolkit
Enables agents to share state via a blackboard, record and retrieve failure resolutions, and cache LLM responses to avoid redundant API calls.
README
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 | blackboard_write, blackboard_read, blackboard_list |
Shared agent state without direct coupling |
| SCAR Memory | scar_lookup, scar_record |
Repeated failure prevention — find the known fix before retrying |
| Response Cache | cache_get, cache_set |
Stop paying twice for identical LLM requests |
Quick start
npm install
npm start
The 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 agent
Agents 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 resolution
When 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 call
SHA-256 hashes the messages + model into a cache key. Identical requests never hit the API twice.
Tests
npm test
13 tests covering blackboard isolation, SCAR round-trips, and cache hit/miss behavior.
Stack
- MCP SDK (
@modelcontextprotocol/sdk) — the official Anthropic MCP server library - node: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
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