Mcp Server

Created By
ernestocullaria year ago
Overview

what is Mcp Server?

Mcp Server is a framework that enables the creation and interaction with sophisticated agents and workflows, supporting various AI models for effective task execution.

how to use Mcp Server?

To use Mcp Server, install the fast-agent-mcp package using the uv package manager, set up an example agent, and run it with specified configurations.

key features of Mcp Server?

  • Supports multiple AI models including OpenAI and Anthropic.
  • Allows for the creation of complex workflows and agent interactions.
  • Provides a simple declarative syntax for defining agents and workflows.
  • Multi-modal support for images and PDFs.

use cases of Mcp Server?

  1. Developing AI agents for data analysis tasks.
  2. Automating workflows that require human input.
  3. Creating interactive chatbots for customer service.

FAQ from Mcp Server?

  • Can I use my own AI models with Mcp Server?

Yes! Mcp Server supports various AI models, allowing you to integrate your own.

  • Is there documentation available for Mcp Server?

Yes! Comprehensive documentation is available at https://fast-agent.ai.

  • How can I contribute to the Mcp Server project?

Contributions are welcome! You can submit PRs and issues on the GitHub repository.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
ernestocullari
Star
0
Language
Python
License
Apache-2.0 license

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago