"Threads" matching MCP servers:

An MCP server that exposes Threads CLI data for managing hierarchical threads, containers, and progress logs. It enables users to create, organize, and track task history while maintaining compatibility with the Threads CLI storage.

A stdio MCP server for the official Threads API, enabling publishing, reading, moderation, insights, discovery, locations, and setup diagnostics.

Thread Contract is a local runtime contract layer for AI coding-agent threads. It lets users pin explicit, thread-scoped rules without turning them into project policy or long-term memory.

Markdown collaboration for AI workflows. Share markdown via public links with four permission levels, inline comments, and real-time sync. AI agents can read docs, review comments, incorporate feedback, and resolve threads. Free, no login.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

MCP server that reduces token consumption in AI coding assistants by up to 90% via structural reads, PreToolUse hooks, and tp-\* subagents.

Enables MCP-compatible coding harnesses to read Amp threads as Markdown, with pagination and filtering options, through a read-only interface.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

MCP server for profiling Java applications via JDK utilities (jcmd, jfr, jps). Enables AI assistants to diagnose performance, analyze threads, and inspect JFR recordings without manual CLI usage.

Structures AI conversations into hierarchical thread trees, replacing full history with concise summaries to reduce token consumption and preserve context.

Сonnects to live JVMs via JDWP protocol, enabling LLM agents to autonomously debug Java applications — attach to a running process, pause threads, set breakpoints (including conditional), inspect stacks with auto-resolved object fields, evaluate methods, set variable values, and diagnose issues like deadlocks and hung queries.

Enables sharing coding progress on Twitter by analyzing sessions and generating tweet suggestions, with tools for posting tweets, threads, and OAuth authentication.

An MCP server that enables interaction with Twist workspaces using the Twist REST API, allowing users to manage their Twist inbox by viewing, archiving, unarchiving, and marking threads as read.

Enables management of GitHub pull request review threads through natural language, allowing users to list, reply to, and resolve PR review comments using GitHub's GraphQL API.

A FastMCP (Python) server for Rocket.Chat with 28 tools covering channels, messages, threads, DMs, files, users, and analytics, plus AI governance, observability, and security features.

Enables AI assistants to interact with the Inbound Email API to manage domains, endpoints, and email communications. Users can send or schedule emails, manage webhooks, and retrieve email threads through natural language commands.

MCP server that connects AI coding agents to Greenroom's per-story Storybook reviews, allowing them to list feedback with screenshots, reply to threads, mark stories addressed, and approve stories when explicitly delegated.

A production-ready MCP server for the Slack API that enables searching, listing channels, reading history, inspecting users, fetching threads, and sending messages through controlled Slack tools.

An email assistant server that connects Claude Desktop to notmuch email databases, allowing users to search emails, view threads, compose new messages, and reply to conversations with markdown formatting.

An MCP server that enables AI agents to communicate with humans through Discord. Agents can send messages, create threads, wait for replies, and manage conversations across any MCP client.