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60,931 servers. Last updated

"author:SanjoyDat1" matching MCP servers:

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    Capability-token gate for AI agents. Mint time-boxed, scope-limited grants that authorize specific tool calls.
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    MCP server implementing ReAct reasoning-acting loops with tools like search, lookup, and finish, supporting both fixture and OpenAI LLMs for offline-first, traceable agent execution.
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    MCP-native TypeScript implementation of the Reflexion verbal RL loop for language agents, providing tools to start tasks, act, evaluate, reflect, and retry with pluggable LLMs and memory.
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    Semantic caching MCP server for AI agent tool calls, providing exact and similarity-based cache lookup, store, invalidation, and metrics via MCP tools.
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    MCP server for Tree-of-Thoughts search engine enabling deliberate problem solving with LLM agents via BFS, DFS, and beam search policies.
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    Evidence-weighted trust graph for multi-agent systems. Enables querying trust and gating high-risk actions based on time-decayed evidence and endorsements.
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    An MCP server that validates tool calls against JSON Schema, performs deterministic repair, redacts secrets, and maintains a hash-chained audit ledger.
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    MCP server implementing the Generative Agents memory architecture, enabling observation, retrieval, reflection, and planning for agent memory management.
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    MCP server implementing Chain-of-Verification to reduce LLM hallucinations by drafting answers, planning fact-check questions, answering them independently, and revising.
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    Goal-oriented narrative state machine for AI agents, exposing live world/scene context as MCP tools and resources.
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    Enables chain-of-thought reasoning with self-consistency voting, allowing sampling of diverse reasoning paths and aggregating answers via majority or weighted vote for improved accuracy.
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    MCP server that parses stack traces and logs to generate deduplicated issue drafts with severity, repro steps, and owner guesses.
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    A lightweight MCP server implementing the GraphRAG pipeline for hierarchical knowledge graph construction and query-focused summarization.
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    Enables AI agents to fork plans into counterfactual worlds, score them with rubrics and simulations, detect contradictions, measure regret, and merge a winner with a full audit trail.
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    Enables AI agents to branch, score, prune, and merge conversation strands with provenance and timeline export. Provides MCP tools and resources for managing parallel exploratory strands.
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    Enables generating AI-powered standups from git activity, with risk flags and markdown digests, via MCP tools.
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    AI onboarding OS for startups providing handbook Q&A with citations, Day‑1/Week‑1 checklists, and readiness tracking via MCP tools.
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