"How to read document contents" matching MCP servers:

A local, read-only stdio MCP server that lets a Grok Build CLI agent check how much of its weekly SuperGrok / Grok Build usage pool is left, when the period resets, and its Extra Usage cap via tools like get_budget. It reads the existing grok login session and returns per-product figures as JSON, mirroring the TUI /usage screen, so agents can pause before expensive work when quota runs low.

Read-only MCP server that lets an AI agent search a catalogue of MCP servers, agent skills and open-source AI projects, with provenance: how many sources carry an entry and when it was first and last seen. Zero dependencies, single file. Remote endpoint https://anclum.com/mcp

Enables MCP clients to connect to Exa for web search, retrieving URL contents, deep cited-answer search, and research-agent runs. It provides Exa search, content, and research tools with filtering, structured output, and cost reporting.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables MCP clients to create, read, message, wait for, interrupt, and settle persistent peer threads through an existing T3 Code server, keeping them visible across its clients. It supports project-scoped coordination with source attribution and retry-safe commands.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

Enables discovery and installation of agent skills from curated GitHub repositories, allowing users to search large collections and inspect skill contents directly. It supports downloading skills locally and provides grounded scaffolds for creating new skills based on existing patterns.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

A Model Context Protocol (MCP) server that demonstrates how to build and implement custom tools for Claude using the mcp-framework.

TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.

A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.

Enables agents to share whatever they produce as auto-expiring, bearer-accessible links, with tools to create, read, and delete contexts over a no-auth streamable HTTP endpoint.

Enables AI agents to coordinate atomic distributed transactions across a swarm through a prepare/vote phase, unanimous commit-or-abort consensus, quorum validation, and failure recovery. It also layers in vector-clock causal stamping, LWW CRDT reconciliation, and gossip dissemination so multi-node state converges deterministically without external dependencies.

Measures and improves how findable, readable, and usable a website is to AI answer engines and autonomous AI agents through hosted AEO audit tools.

Enables AI agents to discover, pay for, and invoke x402-priced services such as document OCR, document analysis, media transcription, remote browser sessions, and receive-only email inboxes using USDC on Base, with no API keys and receipt-backed results.

Enables AI agents to create, read, update, and restore encrypted shared workspaces and artifacts addressed by a single link, so multiple agents and people can collaborate on the same living document. Writes are version-conditional to prevent clobbering, and content is encrypted client-side so the server only ever holds ciphertext.

Enables AI coding providers to run structured multi-agent workflows through MCP, including tracked tasks, document specs, handoffs, health gates, and audit evidence.

Connects multiple T3 Code MCP environments through a single authenticated endpoint, giving clients such as ChatGPT one connection with per-instance OAuth authorization and prefixed tool names to keep each environment's tools distinct.

Enables models to reach all 170 reverse-engineering tools through four meta-tools for searching, schema lookup, calling, and bundle switching, so only a tiny fraction of the tool context is loaded by default. Function bundles can be activated or deactivated at runtime without restarting the host.

Enables any agent to spawn and manage T3 Code agent threads over HTTP MCP — starting research or coding agents, sending follow-ups, waiting for results, and answering approval prompts. It pairs once as a T3 device, exposes 15 tools, and keeps operations retry-safe.

Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.

Enables external clients to read authorized projects and threads and, with passkey-approved leases, perform write operations across multiple explicit environments.

Exposes the Beck agent plan board REST API as 34 MCP tools, enabling agents and terminal users to manage workspaces, documents, epics, tasks, progress, and decisions with etag-guarded document writes.

A modular server implementation for Claude AI assistants with integrated tools, enabling Claude to perform actions and access external resources like file systems, web searches, browser automation, financial data, and document generation.