"Accessing Jira Tickets and Updating Their State" matching MCP servers:

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables users to convert a vendor partner directory (such as PartnerPage or the Shopify Partner Directory) or a trade body member list into one company row per listing, each carrying website, domain, tier, tags, and location for Clay-ready output. It runs the extraction on Apify, returning dataset rows for up to 20 directory URLs with optional deduping, detail enrichment, and a cost cap.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.

Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

Classifies job titles into department and seniority using deterministic rules, and optionally verifies if a person is listed on their employer's website via the Mamba Labs Contact Classifier Apify actor.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Resolves messy company, customer, and vendor names across CRM, ERP, and ITSM systems to canonical records using fuzzy matching, preventing AI agents from updating or creating wrong or duplicate records.

Enables AI agents to list metrics and dimensions, inspect definitions, and run governed metric queries against Apache Iceberg tables through a semantic layer, without writing SQL or accessing raw rows or columns outside their role.

It gives AI agents a ranked, token-budgeted digest of what changed since their last cursor, with drill-down handles and cursor acknowledgement, read from a local database of file and SQL source changes. It enables agents to act on current business state without re-reading and diffing everything themselves.

Enables managing Hevo Data pipelines from Claude Code, including listing, creating, enabling, disabling, resyncing, and updating pipeline and source configurations.

Enables AI agents and their users to ask business questions in plain language and receive governed metric values, breakdowns, share-of-total figures, and the exact parameterized SQL behind them, drawn from a single semantic model rather than ad-hoc SQL. It also lets clients inspect available metrics and their definitions, and preview optimized queries without executing them.

Enables you to interact with your Fivetran environment through natural language, supporting read-only queries about connections and syncs, and write operations like updating sync frequency when enabled.

Enables scientists and their agents to build type-checked, reproducible, interoperable analysis workflows over stamped data along arbitrary parametric axes, with content-addressed artifacts, provenance, dataset pipelines, and session-aware statistics.

Provides AI assistants with access to Vega-Lite documentation, visualization examples, and specification validation tools. Enables searching docs, retrieving examples by category, validating JSON specs, and accessing schema information for creating data visualizations.

Enables users to query Google Search Console and Bing Webmaster data, inspect indexed URLs, submit same-host URLs to IndexNow, and retrieve PageSpeed Insights and CrUX metrics through their MCP client using their own credentials.

A Model Context Protocol server enabling AI assistants to interact with TriliumNext notes, providing tools for creating, searching, reading, and updating notes in your knowledge base.

Enables local and offline XLSX header cataloging, candidate relationship inference, and Oracle SELECT/WITH SQL generation without accessing databases or executing SQL.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

Enables interaction with the Morpho GraphQL API, providing tools for accessing market data, vaults, positions, and transactions through a Model Context Protocol (MCP) server.

An MCP server that integrates Verodat's data management capabilities with AI systems like Claude Desktop, enabling users to manage accounts, workspaces, and datasets, as well as perform AI-powered queries on their data.

Enables AI agents and MCP clients to search the Scrape.ly Store for Actors, read their README and input schema, run them, follow runs, and read results from datasets, key-value stores and logs. It also supports managing saved tasks and searching the Scrape.ly and Crawlee documentation.

Enables AI agents to search projects, retrieve and validate CDOP documents, explain schemas, list enums, and inspect state machines over Streamable HTTP, returning HAL links so agents can continue navigating the API.

The Polymarket adapter: the venue's prices, with their criteria and liquidity attached.

Connects MCP clients such as Claude Desktop and Claude Code to Opteryx so users can ask questions about their data in plain English, discovering datasets, reading schemas, running queries, profiling columns, and validating SQL. Every call runs as the token's own user and against only the data that user can see.

Enables policy-bound, one-way synchronization of course content between Moodle sites, with capability-based provider selection, explicit approval workflows, and durable job state.