"FIRST" matching MCP servers:

Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp

The first commercial implementation of HTTP 402 Payment Required for creator content monetization. AI agents pay $0.0025 per content pull from paywalled creator libraries. Creators get paid automatically.

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

Exposes the four Ejentum cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call. Drop-in scaffolding that catches LLM failure modes like sycophancy, hallucination, and reasoning shortcuts.

Enables text-first agents to inspect images via focused questions, returning compact, checked evidence packets. Reduces visual context by ~90% while preserving expected fields.

Official MCP server for Algenta, a local-first AI engine powered by Mojo CPU/GPU kernels, 525+ Mojo libraries and 6,000+ compiled functions. Governed data discovery, exact queries, decisions, simulations, persistent decision memory and agent runs with approvals and execution receipts. Runs on your infrastructure. Source: packages/mcp/algenta_mcp. Install: pip install algenta-mcp (stdio).

Anonymize PII and redact text for GDPR using real NLP, not just regex. Czech-first, built on ÚFAL/LINDAT (MasKIT + NameTag NER) with 80+ PII patterns. Also multilingual NER across 35+ languages, morphology (UDPipe), machine translation, and spellcheck. 6 tools. Non-commercial use only. Install: pip install anonymize-mcp

Probe LLM API endpoints and report health metrics including time to first token, latency, and throughput.

Parametric price benchmarking for engineering and procurement trade-offs. Agentic first, runs on your data, stays on your machine.

Local-first MCP server that lets AI agents design Cisco-style networks and generate L1/L2/L3 topology diagrams, device tables, and AI-ready context files.

Local-first agent memory & knowledge service: hybrid retrieval (vector + BM25/RRF) + memory governance (decay, dedup, freshness), REST + MCP dual protocol, fully offline without LLM. Python.

First MCP server for NVIDIA NIM FLUX. Generate and edit images using FLUX.1 models with your existing NVIDIA API key.

A local-first MCP server that gives AI coding agents persistent memory and controlled commands. Features a git-backed markdown knowledge vault with FTS5 search, surgical section edits, token-aware context budgeting, and a sandboxed command engine with human approval gates. Works with Claude Code, Cursor, Copilot, Gemini, and more.

A security-first MCP server that generates images via OpenAI's image model (gpt-image-2) and returns them as MCP image content, usable from Claude Code, Claude Desktop, and other stdio MCP clients.

A Model Context Protocol server that gives AI assistants OCR with first-class accuracy handling and evaluation. It wraps three engines behind one interface and can score and compare them.

Enables Claude Code and Claude Desktop to drive Dreamina's Seedance 2.5 for batch video generation, including cinematic techniques, references, first/last frames, video-to-video edits, and automatic clip downloads via the SeedFlow Chrome extension.

MCP server for FirstHandAPI that enables AI agents to create and manage human-in-the-loop data collection jobs (photos, audio, video, screen recordings) with automated AI quality scoring.

An MCP bridge for ProphetKey, an offline-first encrypted API key vault for AI agents. Use one of the 5 prophetkey_* tools to inject real API keys through a local proxy — agents only ever see safe_key identifiers, never the real provider keys.

Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).

Enables non-vision LLMs to understand images, extract text via OCR, and parse documents through a unified MCP interface, with local-first processing and optional OpenAI-compatible channels.