@agentskit/mcp

Expose AgentsKit tools as an MCP server — use them from Claude Desktop, Cursor, Windsurf, or any MCP host.

npx @agentskit/mcp --tools fetch,search

Then point your MCP host at the command. Example (Claude Desktop config):

{
  "mcpServers": {
    "agentskit": { "command": "npx", "args": ["@agentskit/mcp", "--tools", "fetch,search"] }
  }
}

Flags

| Flag | Effect | |------|--------| | --tools <a,b> | which tools to expose (default fetch,search). Available: fetch, search, filesystem, shell, sqlite | | --fs-root <dir> | enable the filesystem tool, rooted at <dir> | | --sqlite <file> | enable the sqlite query tool against <file> | | --allow-shell | enable the shell tool (off by default — it runs commands) |

stdout is the MCP JSON-RPC channel; human output goes to stderr.

Programmatic

import { createAgentsKitMcpServer } from '@agentskit/mcp'
import { fetchUrl } from '@agentskit/tools'

createAgentsKitMcpServer({ tools: [fetchUrl()] }) // stdio by default

Pass transport to use a custom MCP transport (e.g. in-memory for tests).

Expose whole agents (agents as MCP tools)

Run a registry agent server-side and expose it as a single MCP tool — the host delegates a specialized job instead of orchestrating primitives:

npx @agentskit/mcp --agents legal-contract-reviewer,fintech-kyc-screener --provider openai

--provider covers the first-class adapters (openai, anthropic, gemini, ollama) plus the OpenAI-compatible set (deepseek, grok, groq, mistral, cohere, together, fireworks, openrouter, cerebras, kimi, huggingface, qwen, lmstudio, vllm, llamacpp) and any other OpenAI-compatible provider in the models.dev catalog. Key from --api-key or <PROVIDER>_API_KEY; --model / --base-url optional.

import { createAgentTool } from '@agentskit/mcp'
createAgentsKitMcpServer({ tools: [createAgentTool({ id, description, systemPrompt, adapter })] })