"A server for finding information about text analytics" matching MCP servers:

Provides deterministic Unicode 17 text integrity operations—inspection, normalization, comparison, transcoding, security observation, difference explanation, indexing, and protocol profiles—over explicit strings and byte arrays via eight read-only MCP tools.

Read and filter Excel, CSV, ODS, SQLite, Parquet and MTSV files — or a folder — as plain text

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

Provides a structured data interface for Servarr apps (Sonarr, Radarr, Prowlarr) enabling health checks, analytics, simulations, backups, and guarded write operations.

MCP server that provides tools to interact with Google Analytics APIs, enabling account and property retrieval, report running, and custom dimension/metrics access.

Enables AI agents to explore a synthetic product-event dataset and answer questions about signups, trends, funnels, and property breakdowns using a small set of composable, self-describing tools that return precomputed totals and actionable error hints.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

Mcp server for csv data analysis

Enables AI agents to drive a real Chrome browser using text-only accessibility-tree snapshots, with tools for navigation, interaction, and persistent task-space management.

Enables LLMs to load tabular data from CSV/Excel/JSON, clean and analyze it, generate charts, and write a report with conclusions.

A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.

Enables agents to turn a plain-language description of a device into a complete, validated build package — parts list, 3D-printable parts, wiring, firmware code, picture assembly guide, and tests — that anyone can assemble without electronics experience.

Algorithmic text and NLP analysis server providing sentiment, readability, keyword extraction, language detection, stats, and more via REST and MCP.

An MCP server that combines SQL and RAG tools into a reasoning agent for answering retail analytics questions using natural language.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A read-only DuckDB MCP server offering context-efficient analytics tools (list_datasets, describe_table, profile_column, explain, query) with a semantic layer for business rules, security guards, and disclosed truncation to help LLMs produce correct answers while minimizing token usage.

Lets LLMs rank, compare, and connect actors and movies from local IMDb non-commercial datasets stored in DuckDB, with Wikidata enrichment.

Gives every AI agent working in a repository a shared, persistent knowledge graph stored in a plain JSONL file, with each entity, relation, and observation tagged with the date and agent that added it. Provides tools and prompts for searching, editing, renaming, merging, cleaning up, and exporting that memory, and keeps it locked to the repository that owns it.