"An incomplete or malformed search query" matching MCP servers:

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

A local DLP middleware that redacts sensitive information from prompts using local models before they reach external LLMs. It provides tools to sanitize queries, restore placeholders in responses, and manage a ledger of redactions to maintain data privacy.

Enables agents to store and retrieve LLM query-response pairs using fuzzy cosine similarity matching with configurable thresholds and cache hit/miss telemetry. This reduces inference cost and latency by reusing semantically similar cached responses.

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

Persistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.

An MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.

Enables AI agents to browse and interact with JavaScript-rendered websites stealthily, and to delegate research or automation tasks to sub-agents that can cite sources and produce reusable scripts, with full logging and a live dashboard.

A lightweight and fast MCP server that enables AI agents to efficiently discover and execute tools through progressive disclosure, minimizing context consumption while supporting safe code execution in external environments.

Enables decomposition of complex, multi-faceted research prompts into executable query plans and synthesis DAGs, with support for scientific evidence analysis and consensus calculation.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.

An MCP server that utilizes LangGraph and Google Gemini to conduct comprehensive research through multi-iteration deep searches and quick results. It provides high-quality analysis with automated citations and grounding metadata for thorough investigations.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

Enables Claude Code to query and control the SuperInstance fleet, including fleet status, conservation law checks, semantic search, and agent registry.

Enables agents to freeze the real inputs of a file or JSONL batch, then audit current outputs for missing, duplicate, unexpected, or malformed results and resume from the item IDs that still need repair. Runs locally over stdio with CPU only and no API key.

Serves installed skills over stdio or Streamable HTTP and can expose 70 read-only live data tools, enabling MCP clients to discover, run, and compose verified sandboxed tools and query live Robinhood Chain, market, and DeFi data with provenance.

Lets an agent delegate coding tasks and reviews to Claude Code, Codex or Grok Build CLIs running locally in isolated git worktrees, then poll an inbox for the status, question or final answer. Each caller sees only its own threads.

MCP server for AIRAS, an open-source research automation platform. It provides tools for paper search, retrieval, hypothesis generation, experiment execution, and paper writing, enabling automated or interactive research directly from MCP clients.

Enables Codex Desktop or CLI to delegate tasks to an already running DeepSeek Harness Desktop over an authenticated local socket, reusing that Desktop's model configuration, Skills and allowed tools without a separate API key or runtime. Each delegated session runs in its own isolated directory or Git worktree so Codex can review results before integration.

Exposes MCP tools that start, query, signal and approve durable Temporal workflows which diagnose and remediate broken Kubernetes pods, so a crashed or restarted server simply re-attaches to the same deterministic heal instead of losing state or applying a fix twice.

MCP server that lets Claude, ChatGPT, or VS Code build a complete, machine-checked model of your domain and generate an app from it.

Enables agentic evolutionary search where an autonomous coding agent acts as the variation operator, letting users evolve target implementations by starting runs, receiving step prompts, evaluating worktrees, and submitting or reverting candidate changes.

Enables autonomous trading agents to query normalized cross-asset event intelligence and per-asset impacts from primary sources, including events since a time, exposure graphs, regime snapshots, and explanations. It supports MCP over streamable HTTP or stdio, with paid per-call access in USDC via x402 or API keys.

Enables durable agent-to-agent messaging across any MCP client, DSH session, or A2A agent, with threads, receipts, search, broadcast, attachments, presence, SSE streaming, signing, and wake-on-message.

Enables Claude Code to perceive only unpredicted macOS screen changes, filtering out self-caused visual noise, and provides tools to query recent external changes or block until the world acts on its own.

Enables agents to complete supported search, extraction, summarization, translation, and classification tasks by choosing an eligible provider, tool, or MCP route, executing it, applying bounded fallback when appropriate, and recording the outcome.

Tracks what an agent KNOWS vs INFERS vs ASSUMES with calibrated confidence. Provides tools to register, query, and analyze epistemic status of claims across domains.

Demonstrates capability-token write authorization for MCP servers, enforcing per-mutation single-use warrants and human confirmations over an in-memory CRM to prevent unauthorized or destructive actions.

Enables autonomous agents to create and operate an Ethereum Safe wallet, send ETH or call contracts with their own signatures, and check transaction status without human approval or custody.

An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time.

Enables AI agents to connect to Revit 2024 via MCP, inspect documents and selections, query and modify elements, and validate, preview, or commit plans with audit logging and rollback.