Enables MCP clients to search job listings, read complete job descriptions, manage local search presets and candidate pools, and prepare application or message drafts. Optional session-backed chat reading and human-confirmed single-action execution are also supported.

Enables MCP clients to perform speculative tree-search action prediction and prefetching using Laplace-smoothed Markov transitions, returning deterministic JSON tool results.

Enables agents to use ACT-R spreading activation memory, semantic association graphs, and automated memory consolidation via the Model Context Protocol.

Enables agents to store LLM query-response pairs and retrieve them via fuzzy cosine similarity matching, reducing duplicate inference calls; it exposes tools for setting cache entries, semantic lookup, and hit-rate statistics.

Enables agents to run multi-engine web searches, find GitHub repositories, and fetch web pages as Markdown with headless-browser fallback and automatic system-proxy support.

A read-only MCP server that lets AI assistants search and browse the Coolapk community — posts, comments, topics, user profiles, home feeds, and images — with built-in login reuse, rate limiting, and risk-control fallbacks. All access is strictly read-only, so agents can look up community information without any write operations.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

Enables AI agents to search and invoke 1,939 Atlassian automation tools across Jira, Confluence, Bitbucket, Admin, Assets, and more, with cached reads and JSON-RPC over stdio. It helps agents find tools without calling Atlassian and execute operations while reducing rate-limit pressure.

This server provides a standardized interface for interacting with the NovelAI image generation API, enabling agents to build and execute complex image creation workflows. It supports various generation types, from text-to-image and inpainting to parameter configuration, while providing Anlas cost estimation and semantic tag search.

Local MCP server that gives coding agents a verifiable project memory, trims what enters their context, and masks secrets — with honest accounting of what it saves and costs.

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracki

Enables AI assistants to search a university library's catalog by keyword, title, author, subject, or ISBN, and to check each copy's real-time availability, floor location, and expected return date. Also provides recommended reading lists, new arrivals, and search-term suggestions, with raw holdings data parsed into readable output.

Enables coding agents to perform semantic Python AST diffing across git boundaries, detect breaking changes, and generate concise PR triage summaries for reviewers via the Model Context Protocol.

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MC

Publishes a weather MCP server that layers governance onto a working baseline: JWT scope checks on tools, logging with redaction, background tasks with progress and elicitation, and search/code-mode views of the same server. It also supports an in-process proxy provider and a packaged skill for agent-side discovery.

Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP in

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

This is a 12306 ticket search server based on the Model Context Protocol (MCP).

mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.

Enables AI clients to list chats and groups, read full group history, search across message shards, and access summaries or system events from local WeChat 4.x data through a read-only, offline MCP interface.

Enables MCP clients to search and manage Xianyu items, publish or edit physical products, handle conversations and messages, and complete QR-code login with cookie setup.

Enables clients to look up failure modes and corresponding procedures, search and retrieve entries, and build prompts or reviews through structured tools over stdio JSON-RPC.

Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.