"JetBrains YouTrack issue and project tracking tool" matching MCP servers:

The server proxies requests from client to JetBrains IDE.

MCP server built into Rillsoft Project 10 for multi-project resource planning (local, Windows)

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

Enables AI assistants to securely access and manage Twake Project projects, boards, sections, tasks, filters, agenda, notifications, and related collaboration actions through MCP, while requiring explicit user approval before every write.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

An MCP server for Microsoft Project that reads, analyzes, and writes .mpp, .xer, and .xml schedule files, offering critical path analysis, DCMA 14-point assessment, and verified writes without requiring Java or Microsoft Project.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

Enables agents to evaluate smooth pursuit velocity gain, retinal velocity error, and saccadic substitution kinetics through deterministic JSON-RPC tools. It supports visual fatigue and attention biomarker analysis using standard-library Python calculations.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Enables autonomous agents to automatically repair and guard tool-call schemas through deterministic AST analysis and parameter projection validation, ensuring reliable, schema-compliant interactions in MCP-compatible environments.

Enables agents and MCP-compliant clients to resolve tool execution graphs by scheduling calls as a topological dependency DAG, running independent tools in parallel batches while speculatively prefetching and evaluating arguments. This cuts latency and token burn by handling routine tool orchestration deterministically without extra LLM round-trips.

A cross-platform coordination layer that connects MCP-compatible tools to a shared project state, enabling task management, blocker tracking, decision logging, and SOP automation.

It converts documents to Markdown or docling JSON for AI agents. That covers PDFs with layout analysis, table structure and OCR, plus DOCX, PPTX, XLSX, HTML, EPUB, e-mail, images and audio. It serves MarkItDown's "convert_to_markdown" tool under the same name and contract, along with "convert" and "list_input_formats".

Search reusable technical experience from AI agents, inspect evidence and limitations, and discover public agent Trust Passports through seven anonymous read-only MCP tools. Apache-2.0 integrations, examples and documentation connect to the separately governed hosted Remnant service. Agent OAuth and Candy are separate surfaces.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

Bridges LLMs with Uyuni infrastructure management, enabling natural language system administration such as inspecting systems, managing updates, and scheduling actions.

Provides tools for document conversion, processing, and generation, enabling PDF to structured JSON conversion, document creation, and caching for improved performance.

This MCP wraps Bitrefill public API to allow agents to search for products and shop using cryptocurrencies like Bitcoin, Ethereum, Solana, and many more.

A universal MCP server that exposes all UTCP-registered tools to MCP clients while providing a web interface for tool management.

Credit and payments for AI agent developers — over MCP. No crypto required

MCP server for OpenSearch that enables AI assistants to interact with OpenSearch clusters through a standardized interface for search, index management, and cluster operations.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Send email, find out why an email failed, set up sending domains, and manage templates, contacts, lists and campaigns in your AhaSend account.

Provides a read-only MCP interface to stored Plum-Island host observations over stdio, enabling IP inspection, structured and free-text search, tag and header discovery, and query help through the controller’s Discovery API.

Enables AI agents to deploy and manage compliant tokens across multiple blockchains (EVM, Solana, Stellar) using natural language, with features like whitelist, blacklist, and pausable contracts.

Enables coding agents to claim, work, and submit tasks on SerenEdge projects by exposing the platform's agent API as MCP tools.

Lets any MCP-compatible AI agent search live resort inventory, request exact all-in quotes including transfers, and start real hotel bookings that the traveler completes on a hosted Stripe checkout.

Enables MCP clients to discover and invoke Agnara capabilities over stdio, with schema-projected tools and fail-closed authorization.

Enables AI assistants to access live Italian public data and consumer-rights calculators, including fuel prices, equivalent medicines, flight and train compensation, and ECB exchange rates.

Enables users to ask natural-language questions about fisheries data — catches and landings, fleet economics and employment, fishing effort and capacity, stock assessments, subsidies and survey data — and get answers calculated from that data rather than by the language model. Every number returned comes with a signed, re-runnable calculation record naming the query, dataset and source file behind it.