"Information about CSV (Comma-Separated Values)" matching MCP servers:

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

An MCP server that lets AI agents discover Ansible Galaxy collection input/output contracts, including module arguments, return values, and role facts, to help generate accurate playbooks.

Provides persistent identity and memory for AI agents across MCP-compatible harnesses, enabling agents to retain their name, values, and episodic memories between sessions regardless of the client or model.

Tracks uncertain values stated by the user and blocks model writes that embed unverified values until confirmed.

Enables MCP agents to execute whole browser and macOS goals locally, supplying goals, exact values, and completion conditions while Jev handles the observe-decide-act loop.

Validate and generate SOUL.md agent identity files. SOUL.md is the open format for persistent AI agent identity — personality, voice, values, and constraints in a machine-readable YAML file.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

Cryptographic identity and trust protocol for AI agents. 38 MCP tools across 8 protocol layers: Ed25519 identity, delegation chains, values compliance, signed communication, policy engine, task coordination, cross-layer integration, and agentic commerce. 264 tests passing.

An MCP server that enables Claude to train a linear regression model by simply uploading a CSV file, handling the entire ML pipeline from data preprocessing to model evaluation.

Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.

Enables natural-language-driven analytics over CSV/Parquet or built-in data by decomposing questions into analytical tasks, running them via deterministic DuckDB and SciPy tools, and publishing only claims verified against the underlying rows.

Agent Vault is a local credential vault for AI agents. It enables agents to use secrets by name without ever seeing their values, with host allowlists, output scrubbing, and audit logging.

Enables safe auto-approval for coding agents by gating file-changing actions to only execute when values were explicitly stated by an authorized developer or repository maintainer, refusing actions derived from agent-read text.

MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.

An MCP server for analyzing images using OpenRouter vision models, offering capabilities like automatic image resizing, model configuration, and handling custom queries about images.

Enables Claude to remember information about users across chats using a persistent local knowledge graph that stores entities, relationships, and observations.

An MCP-based trivia game server where AI creates rounds with two true statements and one false 'twist' about various topics, letting players guess which statement is false.

Enables AI coding agents to securely inject API keys and secrets into environment files, configs, or commands without the agent ever seeing the secret values.

Enables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.

Enables the model to observe and control the live desktop via accessibility trees and screenshots, performing actions like clicking, typing, scrolling, dragging, and setting values.