"Code Execution" matching MCP servers:

MCP server for the tastytrade brokerage API, providing tools for account management, market data, and order execution.

Connects Jupyter Notebook to Claude AI for direct notebook control and code execution.

Provides deterministic, plain-English narratives explaining machine learning model predictions via the Model Context Protocol. It enables users to query classification factors directly through natural language, bypassing the need for complex plots or manual code execution.

Deterministic time-series statistics for AI agents. This MCP server gives any LLM agent unit-tested statistical tools — anomaly detection, changepoint detection, seasonal decomposition, stationarity/trend tests, data-quality audits, baseline forecasts — with schema-validated structured output and no arbitrary code execution.

Provides tools to search and execute Code Ocean capsules and pipelines while managing platform data assets. It enables users to interact with Code Ocean's computational resources and scientific workflows directly through natural language interfaces.

A Fugle MCP server for stock market data and trading, supporting real-time quotes, historical data, and optional order execution.

Serves nightly refit cointegration statistics across six markets, enabling AI clients to screen ranked pairs, inspect locked parameters and spread states, generate chart and code templates, and read methodology without execution or custody.

Searches open-access research papers by keyword and retrieves detailed metadata by CORE ID, including titles, authors, abstracts, DOIs, and download links.

Enables AI agents to look up any Louisiana statute, civil code, or procedure article by citation, returning full section text with enactment and amendment history parsed out. Also supports full-text topic search across the code bodies and browsing every section within a Revised Statutes title, keyless and sourced live from the Louisiana State Legislature.

Serves a lab's manuscript library over the Model Context Protocol, letting clients list works, read text, search paragraphs, browse figures and notes, and record dead ends. Access is filtered by per-person sharing tiers, so each contributor's chosen slice of text, figure previews, assets and notes is what gets exposed.

Enables lookups against the Debian iso-codes project JSON for ISO country, language, and currency codes.

Provides access to Codex Alimentarius maximum residue limits, enabling searches for pesticide and veterinary drug limits by substance or food commodity, including adoption status and JECFA cross-references.

Connects AI agents to a local Stata installation, enabling execution of Stata code, data inspection, graph generation, and result verification through natural language interactions.

Enables querying the Codex General Standard for Food Additives to check whether an additive is permitted in a food category, at what maximum level or GMP, and under which conditions.

A comprehensive B2B intelligence server providing over 48 tools for lead generation, company research, and sales automation via the Model Context Protocol. It enables AI-powered prospect discovery, enrichment, and competitive analysis through seamless integrations with Make.com, Claude Desktop, and Apify.

Enables querying the SIMBAD astronomical database for object resolution, script execution, ADQL TAP queries, and cone searches using natural language.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

Enables retrieval of Codex Alimentarius maximum levels for food contaminants and toxins, filtered by contaminant or commodity, with source PDF page references.

Enables AI clients to read PDFs and selections from Zotero, edit Better Notes in real time, and synchronize Markdown notes.

An MCP server that enables scRNA-Seq analysis through natural language, providing tools for data preprocessing, clustering, and biological visualization. It supports both predefined function execution and a flexible code mode powered by a Jupyter backend for automated single-cell transcriptomics workflows.

Enables Codex to interact with Google NotebookLM, allowing it to list notebooks, add sources, ask questions, and generate audio overviews.

Enables AI clients to perform hydraulic cone crusher selection and crushing-plant design from a requirement form and target capacity, including staged configuration, cavity/CSS/capacity checks, liner life, particle-size simulation, circulating load, and calibration against measured sieve data. It also identifies missing customer inputs and generates proposal-ready assumptions and warnings.

Turns a first-person lab video, a protocols.io protocol or a PDF into an Opentrons Flex or OT-2 protocol that passes Opentrons' simulator. Tools list runs, read the steps, return protocol.py, analyze it and run it on Opentrons' robot-server.

Enables remote execution of MATLAB experiments via natural language, with tools for code execution, task management, file transfer, and system diagnostics.

Enables interactive data analysis using a real IPython kernel with session management, supporting CSV/Excel/JSON loading, code execution, and variable monitoring.

Enables AI agents and backends to retrieve and analyze financial market data — A-shares, US equities, ETFs, indices, and crypto — through MCP tools or an HTTP API. It provides quotes and K-lines, technical indicators, fundamentals, money flow, filings, and news search, with CSV/JSON export for code-execution workflows.

Enables AI agents to invoke DeepAnalyze's intelligent analysis capabilities through MCP tools, including multi-round reasoning, code execution, and file operations.

Enables researchers to present 12 mock file, memory, schedule, and database tools over stdio and collect LLM pre-execution judgments (EXECUTE/CONFIRM/REFUSE) without executing real operations.

Enables interaction with Geo-INQUIRE OGC API Processes for geospatial operations, including planning, execution, and job management through natural language.

Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.