Search and retrieve Reed Jobs listings with flexible filters, returning detailed job information for AI‑driven workflows.

Write data to Lark (Feishu) sheets, obtain shareable links, and integrate sheet operations into Model Context Protocol workflows.

Manages Containerd CRI interfaces via an MCP server, handling container lifecycle, pod sandbox operations, and image management.

Provides MCP server implementation for Kibela API integration, enabling LLMs to search, retrieve, and manage Kibela notes, groups, folders, users, and attachments.

Connects to HashiCorp Nomad and exposes Model Context Protocol endpoints for job, deployment, node, allocation, variable, volume, ACL, Sentinel, and cluster management via a Go‑based server.

Enables VS Code agents to fetch Peacock extension documentation and answer theming‑related questions through an MCP server.

Enables LLMs to interact with MongoDB databases via a standardized interface, offering schema inspection, query execution, aggregation, and write capabilities, with optional read‑only mode and smart ObjectId handling.

Provides an MCP server that interfaces with the SWAPI Star Wars API, exposing tools to list and fetch characters, planets, films, species, vehicles, and starships with automatic pagination and built‑in caching.

Enables AI agents to manage RabbitMQ brokers and interact with queues/messages through Model Context Protocol tools, wrapping admin APIs and providing Pika‑based message operations.

Enables clients to interact with Xero Accounting Software via a Model Context Protocol server, supporting authentication, data retrieval, and transaction creation.

Integrates the Productboard API into agentic workflows via MCP, exposing a set of tools for retrieving companies, components, features, notes, and products.

Enables AI models to perform job‑search queries through a lightweight MCP server that can be accessed by Claude Desktop or OpenAI tools.

Facilitates LLM interaction with Plane.so to list projects, retrieve details, create new issues, and update existing issues via a Model Context Protocol server.

Provides a Go‑based MCP server that exposes Splunk data through STDIO and Server‑Sent Events, enabling LLMs to call tools for saved searches, alerts, indexes, and macros.

Enables Claude to call Webflow APIs, providing tools for retrieving site lists and detailed site information directly from a locally run MCP server.

Provides Claude with the ability to manage Okta users, groups, and onboarding processes via a Model Context Protocol server.

Enables Claude AI to control QGIS through a socket‑based server, allowing direct project creation, layer manipulation, processing execution, and arbitrary Python code execution within the desktop GIS environment.

Provides MD5 and SHA‑256 hashing capabilities via the Model Context Protocol, allowing LLM‑driven workflows to compute cryptographic hashes without leaving the chat environment.

Enables Claude AI to control Jupyter Notebook 6.x through a WebSocket bridge, providing two‑way communication for cell manipulation, notebook management, and output retrieval.

Provides League of Legends player stats, champion mastery, recent match history, and match summaries to AI assistants through natural‑language queries.

Provides a natural language interface to query Feyenoord Open Data, converting user questions into validated SQL, executing them against a SQLite database, and returning the raw results.

Provides integration between Linear's issue tracking system and the Model Context Protocol, enabling LLMs to create, update, search, and comment on Linear issues via MCP tools.

Invokes the task chain of the iFlytek SparkAgent Platform via an MCP server, exposing an upload_file tool for file handling.

Provides a bridge that lets AI assistants manage MikroTik RouterOS devices through natural‑language commands, covering VLANs, DHCP, firewall, NAT, DNS, user accounts, backups, and more.

Provides a remote Model Context Protocol server that transforms any public GitHub repository into an up‑to‑date documentation hub, enabling AI assistants to fetch live code and docs, dramatically reducing hallucinations.

Provides a bridge between AI assistants and the Helm package manager, allowing natural‑language interactions to install charts, manage repositories, and perform release operations.

Enables querying, writing, and managing InfluxDB resources through the Model Context Protocol, offering organized endpoints for organizations, buckets, measurements, and Flux queries.

Provides a simplified interface to the Smartlead API, enabling AI assistants and automation platforms to manage email campaigns, leads, analytics, and download tracking without requiring a license key.

Decompiles Java .class files, package names, and JAR archives into readable source code through an MCP‑compatible server.

Provides a task management API that integrates with AI agents via the Model Context Protocol and persists data in Valkey, supporting multiple transport protocols and rich Markdown‑formatted notes.

Provides a local Model Context Protocol server that enables natural‑language interaction with MongoDB databases via LLMs, allowing queries, aggregations, schema analysis and administrative operations.

Enables AI models to create, modify, and execute tools at runtime while maintaining safety through sandboxing, code validation, and comprehensive journaling.