"Exploring Modern Fortran Language Support and Tools" matching MCP servers:

Enables AI models to write, format, compile, lint, and structure modern Fortran code using best practices and industry design patterns.

Enables visual authoring and testing of MCP tools, resources, and prompts across Bun, Node.js, and Python via standard MCP transports.

Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.

Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

MCP server for generating negative-space print supports for 3D models (STL/OBJ/STEP) via the negative.support API.

Manages the state of a chess game for LLMs/agents without suggesting moves, providing tools to create/reset game, add moves, get status, and check legality.

Enables Claude to manage customers and support tickets through database-backed CRUD tools, contextual customer and knowledge resources, and a reusable ticket-triage prompt.

An MCP server for learning Swedish language, providing tools for vocabulary, grammar, translations, and practice exercises.

An MCP server that acts as a governed customer-support tool, resolving questions only when the knowledge base supports a cited, grounded answer and honestly escalating everything else with provenance and evidence.

Exposes order status lookup and knowledge base search tools from the Support Agent AI over MCP, enabling MCP clients to handle customer support queries with grounded, citation-backed answers.

Enables AI clients to list, inspect, triage, and update support tickets via MCP tools, with a mocked dataset designed for swapping in real ticket sources later.

A read-only MCP server exposing SLURM, GPFS, Prometheus (node exporter + DCGM GPU metrics) and generic Elasticsearch exploration as diagnostic tools for LLM-based HPC support assistants.

Enables Codex to read, write, and design windows for E-language (易语言) programs using official IDE APIs, allowing natural language control of development workflows.

Enables reading and acting on Google Cloud support cases, comments, attachments, and classifications across projects and organizations through MCP, with configurable read/write tools and confirmation safeguards.

Enables AI assistants to handle customer support by looking up order status, semantically searching knowledge bases, and creating support tickets through MCP tools, with grounded answers and automated evaluations.

Provides order lookup, customer lookup, and refund issuance tools with categorized errors to ensure accurate routing and distinguish access failures from valid empty results.

Enables natural-language Q&A over customer support ticket data. Provides tools for schema inspection, SQL-based ticket counts and grouping, and full-text search for customer wording without requiring API keys.

Enables support engineers to analyze tickets against a help center with cited retrieval, role-gated and human-confirmed actions, and safety-gated evaluation.

Enables asking questions in plain English about 61,765 customer-support tickets, returning exact answers computed via SQL queries over DuckDB.