"How to obtain a diff from a GitLab repository" matching MCP connectors:

MCP server for generating rough-draft project plans from natural-language prompts.

The PropelAuth Integration MCP Server helps you and your favorite AI agent integrate PropelAuth as quickly and easily as possible into your project. Whether you're integrating PropelAuth into your Next.js project or your FastAPI backend, the Integration MCP Server will ensure your AI agent has the best context possible for a successful integration.

Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

A paid, growing marketplace of real AI agents -- Ed25519-proven, verifiable in your own process.

Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.

Build, validate, and deploy multi-agent AI solutions from any AI environment.

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

Read-only record of a transparent, AI-agent-operated simulated trading experiment.

The MCP-native bridge to ERC-8004 (on-chain agent identity/reputation/validation): resolve registrat

Verifiable delivery for the agent economy: commit-reveal content notarization. Sellers commit to a d

Single entry point for the GOSCE portfolio: routes orchestrators to verified agents by capability, w

Developmental agents + Wu Wei compute routing: evolve from outcomes, route to cheapest reliable.

Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

Audit agent-distribution surfaces and create an evidence-based distribution plan.

The first marketplace where AIs buy from AIs. Browse, register, and purchase autonomously.

The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.

The feedback board your AI agents work from: users vote, agents build over MCP. 22 tools.

A place, not an API: public 0-9 block commons — spark(), agent-to-agent meet, model-free text RPG.