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"Allowing an AI agent to ask user questions during a task" matching MCP servers:

  • agent-lsp

    blackwell-systems
    A
    license
    A
    quality
    A
    maintenance
    MCP server that keeps language server sessions warm and routes multiple languages through one process. Agents get persistent cross-file awareness, speculative execution (simulate edits before writing to disk), and 20 skills that encode correct multi-step operations like safe rename, blast-radius analysis, and end-to-end refactoring. Single Go binary, no runtime dependencies.
    50
    108
    MIT

  • agent-tool

    knewstimek
    A
    license
    A
    quality
    A
    maintenance
    Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.
    53
    24
    MIT

  • agent-guard-mcp

    Kavachh
    A
    license
    Not graded
    quality
    B
    maintenance
    Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.
    MIT

  • Valkey MCP Task Management

    jbrinkman
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).
    25
    BSD 3-Clause

  • agent-memory-mcp

    ipiton
    A
    license
    Not graded
    quality
    A
    maintenance
    A memory, docs, and repo context layer for engineering agents, providing typed persistent memory, RAG document retrieval, and repository-aware tools to recall decisions, runbooks, and operational knowledge across sessions.
    40
    MIT

  • M.I.M.I.R - Multi-agent

    orneryd
    A
    license
    Not graded
    quality
    C
    maintenance
    Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.
    6
    280
    MIT

  • Zabbix MCP Server

    stufently
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to query Zabbix for current problems, host investigations, alert triage, metrics, and maintenance operations through task-shaped tools with bounded JSON output and human-approval safeguards for any changes.
    Apache 2.0

  • attest-mcp-server

    chudah1
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that exposes tools for issuing scoped agent credentials, delegating narrower child credentials, handling approvals, revoking task trees, and retrieving audit trails and evidence packets.
    14
    1
    Apache 2.0

  • aws-mcp-connector

    FerhatDundar
    A
    license
    Not graded
    quality
    A
    maintenance
    Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.
    MIT

  • RegressGuard

    Bharath-code
    A
    license
    Not graded
    quality
    A
    maintenance
    RegressGuard is an MCP server that records a known-good baseline and lets AI coding agents detect regressions (broken API contracts, failing tests, schema changes) during their edit loop, allowing them to self-correct before committing.
    1
    MIT

  • Qurio MCP Server

    irahardianto
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI coding assistants to search and retrieve information from a locally ingested knowledge base using hybrid search, grounded in user-curated documentation.
    17
    MIT

  • wardline

    kabirnarang39
    A
    license
    Not graded
    quality
    A
    maintenance
    Control-plane proxy that sits in front of MCP servers, enforcing per-identity policy (YAML/OPA/Cedar), budget limits, and an audit trail on every call. Includes real-time anomaly detection that auto-blocks a compromised agent without a human in the loop.
    8
    Apache 2.0