"Codebeamer application lifecycle management platform" matching MCP servers:

Enables AI agents to manage job applications, documents, and contacts via the Application Tracker workspace, with read-only or write access controlled by administrator settings.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

Enables unified management of reservations across multiple Korean platforms (Naver, Airbnb, SpaceCloud, Yanolja, Kakao) with features for duplicate booking prevention, revenue tracking, customer management, and automated messaging through iCalendar integration.

Enables querying aviation weather, FAA TFRs, NWS alerts, flight tracking, and Amtrak train status using public APIs. No API keys or private infrastructure required.

Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to. Covers OpenAI, Anthropic, Azure, Bedrock, Google, and Cohere from each provider's own deprecation pages.

MCP server for integrating manufacturing systems (MES/ERP/quality/maintenance) with LLM agents, enabling event ingestion, incident triage, approval workflows, and RAG-based knowledge retrieval.

Connects AI assistants to your Argo campaigns via the Model Context Protocol. Once configured, your AI assistant can read and write campaign lore, look up character details, and interact with Argo data directly from the chat interface.

Enables MCP clients like Claude Desktop to drive order, inventory, and billing operations through the same human-approval-gated tools and risk policy as the platform's LangChain agents.

A scalable execution platform that enables users to interact with HR, ERP, and DevOps domains through a chat interface powered by LlamaIndex and the Model Context Protocol. It provides a configuration-driven architecture for orchestrating LLM-suggested actions with authoritative tool execution and domain isolation.

A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.

A comprehensive demonstration server that provides tools for calculations, weather, and note management alongside an interactive web interface. It showcases how AI assistants can seamlessly interact with external data sources and functions using the Model Context Protocol.

Enables Claude Desktop to manage office inventory through natural language, including adding items, issuing stock, checking availability, and low-stock alerts.

A simple application demonstrating Model Context Protocol (MCP) integration with FastAPI and Streamlit, allowing users to interact with LLMs through a clean interface.