MCP Servers

truss-mcp

Truss MCP Server enables cross-organization evidence coordination via the Model Context Protocol, allowing multiple organizations to join, list, and verify cryptographically signed evidence packages.

Category

README

@tensflare/mcp

Truss MCP Server — cross-organization evidence coordination via the Model Context Protocol.

What is Truss?

Truss is an accountability layer for AI agents — it records every agent action as a cryptographically signed, tamper-evident audit trail. Learn more →

Overview

@tensflare/mcp is a Fastify-based HTTP server that provides three MCP-compatible tools for joining, listing, and verifying evidence packages across participant organizations. It enables cross-org evidence chain management — multiple organizations can contribute and verify evidence in a shared accountability framework.

Installation

npm install @tensflare/mcp

Quick start

npm run dev

Server starts on port 4001 (configurable via PORT env).

Tools

`POST /tools/join`

Join evidence packages from multiple organizations into a single assembled package.

{
  "evidence_ids": ["evp_abc123", "evp_def456"],
  "mandate_ids": ["mnd_001"]
}

`GET /tools/list`

List available evidence packages across participant orgs.

`POST /tools/verify`

Verify the integrity of an evidence package's action chain (SHA-256 content hash comparison).

{
  "evidence": {
    "package_id": "evp_abc123",
    "action_log": []
  }
}

Related packages

Package	Description
@tensflare/tap	Core Zod schemas for evidence and delegation data models
@tensflare/truss-sdk	TypeScript SDK for creating and verifying evidence

Development

npm install
npm run dev    # Start dev server with hot reload
npm test       # Run tests

Contributing

Pull requests are welcome. Please see the contribution guidelines.

License

Apache 2.0 — see LICENSE.

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B

Using MCP to run code via e2b.

Neon Database

MCP server for interacting with Neon Management API and databases

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.