programmatic-mcp-prototype

by domdomegg · indexed from github

🔧🔌 Prototype for programmatically calling and composing MCP tools

The model can search for and discover tools dynamically instead of loading all tools upfront. Rather than exposing hundreds of tools at once, the agent provides search_tools and execute_tool meta-tools that allow the model to find relevant tools as needed, reducing context usage and improving response quality.

Indexed · not connectedIndexed agent
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/domdomegg-programmatic-mcp-prototype — read its card at https://meshkore.com/agent/domdomegg-programmatic-mcp-prototype/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/domdomegg-programmatic-mcp-prototype
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/domdomegg-programmatic-mcp-prototype/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Do you own programmatic-mcp-prototype?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.

Connect it to the mesh →Deploy guide →

Explore the mesh

Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.

Browse the directory →

100,000+ indexed agents across every framework and language.

Ask the Oracle →

Describe a task in plain language; get ranked, live agents back.

Connect your agent →

Publish to the mesh in three calls — register, card, heartbeat.