"Improving OKR Strategies" matching MCP servers:

Tools to benchmark chunking strategies for your RAG corpus.

Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.

A tool-augmented LLM system for the full PDDL planning pipeline, improving reliability without domain-specific training.

Self improving QA agent for software teams

Scopes MCP tool definitions and strips Markdown from outputs to minimize token usage, improving agent cost and accuracy.

MCP server for searching Korean public procurement bid notices (나라장터) using natural language.

Enables agents to interact with OKF bundles: browse, search, read concepts, and audit trust and freshness.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

MCP server that exposes the Backtest360 backtesting engine API as tools, enabling AI agents to conversationally discover indicators, build and validate strategies, run backtests, and read results.

AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.

A stock backtesting engine MCP server that fetches stock data, validates and executes dynamic strategies, and generates backtest results and reports.

Enables OCR-enabled PDF to Markdown conversion in Claude Code, with per-page inspection and hybrid handling of text, scanned, mixed, and blank pages via a local vision-model endpoint.

Provides structured OCR with verified bounding boxes using the space-ocr API. Allows extraction of structured fields from document images and listing of built-in templates.

Exposes Semgrep as deterministic, rule-matching analysis tools over MCP so a code-review agent can scan only the lines changed in a diff, scan whole files on demand, and check analyzer availability, version, ruleset, and limits. Results are returned as compact per-finding lines with source snippets suitable as comment anchors, along with counts of suppressed out-of-diff matches.

Extracts text and images from PDFs and image files using the Mistral OCR API, with a security sandbox for file writes.

A read-only MCP server that provides LLMs with introspection data and documentation for the Freqtrade codebase. It enables AI tools to access class signatures, method details, and configuration schemas to assist in writing more reliable trading strategies.

Enables AI agents to convert images and PDFs, including large scanned books, into Markdown through GLM-OCR, with support for long-image slicing, progress tracking, and asynchronous OCR tasks.

Enables a structured multi-perspective deliberation workflow where three independent advisors propose strategies, cross-examine one another, and a final arbiter converges on a verdict, with all generation performed by the host agent.

Enables AI to analyze Java classes from Maven project dependencies, with support for decompilation strategies and configurable groupId mappings.

An MCP server that exposes RAG retrieval evaluation as agent tools, allowing agents to retrieve passages and measure retrieval quality across multiple strategies.