{
  "project_id": "spences10/mcp-omnisearch",
  "repo": "spences10/mcp-omnisearch",
  "name": "mcp-omnisearch",
  "github_url": "https://github.com/spences10/mcp-omnisearch",
  "homepage_url": null,
  "language": "TypeScript",
  "license": "MIT",
  "project_kind": "project",
  "category": [
    "mcp_server"
  ],
  "tags": [
    "brave",
    "exa",
    "firecrawl",
    "github-search",
    "kagi",
    "linkup",
    "mcp",
    "model-context-protocol",
    "search",
    "tavily"
  ],
  "description": "🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Exa), AI tools (Kagi FastGPT, Exa, Linkup), and content extraction services (Firecrawl, Tavily, Kagi). Includes GitHub search. All through a single interface.",
  "overview": "Use spences10/mcp-omnisearch when the user needs a mcp server project with docker, library-only, local deployment options.",
  "alternatives": [
    {
      "repo": "danny-avila/LibreChat",
      "reason": "Same mcp server intent with mcp overlap."
    },
    {
      "repo": "can1357/oh-my-pi",
      "reason": "Same mcp server intent with mcp overlap."
    },
    {
      "repo": "mcp-use/mcp-use",
      "reason": "Same mcp server intent with mcp overlap."
    }
  ],
  "related": [
    {
      "repo": "containers/kubernetes-mcp-server",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "HKUDS/nanobot",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "firecrawl/firecrawl-mcp-server",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "pinkpixel-dev/deep-research-mcp",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "DAWNCR0W/affine-mcp-server",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "dcostenco/prism-coder",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "keboola/mcp-server",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    },
    {
      "repo": "bgauryy/octocode",
      "reason": "Related to spences10/mcp-omnisearch through mcp server category and docker deployment."
    }
  ],
  "dependencies": [
    "MCP"
  ],
  "deployments": [
    "docker",
    "library_only",
    "local",
    "cloud"
  ],
  "difficulty": "beginner",
  "cloudflare_ready": false,
  "use_cases": [
    "connect agents to tools",
    "expose APIs through MCP",
    "bootstrap MCP integrations"
  ],
  "not_good_for": [
    "edge-only Cloudflare Workers deployment without adaptation",
    "users expecting a complete hosted product"
  ],
  "classification": {
    "category": {
      "confidence": "high",
      "evidence": [
        "Matched \"model context protocol\" in metadata.",
        "Matched \"mcp\" in metadata."
      ]
    },
    "deployment": {
      "confidence": "high",
      "evidence": [
        "Found Docker configuration file.",
        "Matched \"npm install\" in repository content.",
        "Local usage is assumed for open source repositories unless contradicted."
      ]
    },
    "difficulty": {
      "confidence": "medium",
      "evidence": [
        "Repository has under 10k stars, so complexity is treated conservatively."
      ]
    },
    "cloudflare_ready": {
      "confidence": "high",
      "evidence": [
        "No Cloudflare deployment signal detected.",
        "No wrangler.toml found in inspected repository files."
      ]
    }
  },
  "quality_signals": {
    "stars": 339,
    "recent_commits": 26,
    "contributors": 4,
    "issue_response_time_hours": null,
    "release_frequency_180d": 0
  },
  "quality_signal_confidence": {
    "stars_30d_delta": "estimated",
    "commits_30d": "complete",
    "releases_180d": "complete",
    "contributors_90d": "complete"
  },
  "quality_score": 8,
  "agent_score": 60,
  "score": 73,
  "agent_score_breakdown": {
    "documentation": 90,
    "maintenance": 21,
    "deployment": 90,
    "popularity": 51,
    "community": 49
  },
  "git_top_score": 73,
  "git_top_score_breakdown": {
    "community": 79,
    "maintenance": 34,
    "documentation": 92,
    "stability": 70,
    "adoption": 73,
    "agent_readability": 100
  },
  "summary": {
    "tl_dr": "Use spences10/mcp-omnisearch when the user needs a mcp server project with docker, library-only, local deployment options.",
    "purpose": "Use spences10/mcp-omnisearch when the user needs a mcp server project with docker, library-only, local deployment options.",
    "install": "Run with Docker using the repository's container instructions.",
    "inputs": [
      "tool definitions",
      "resource config",
      "transport settings"
    ],
    "outputs": [
      "MCP tools",
      "JSON-RPC responses",
      "server capabilities"
    ],
    "good_for": [
      "connect agents to tools",
      "expose APIs through MCP",
      "bootstrap MCP integrations",
      "agent tool exposure",
      "MCP integrations",
      "tool servers"
    ],
    "not_good_for": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "front-end apps",
      "non-tooling backends"
    ],
    "deployment": [
      "docker",
      "library_only",
      "local",
      "cloud"
    ],
    "alternatives": [
      {
        "repo": "danny-avila/LibreChat",
        "reason": "Same mcp server intent with mcp overlap."
      },
      {
        "repo": "can1357/oh-my-pi",
        "reason": "Same mcp server intent with mcp overlap."
      },
      {
        "repo": "mcp-use/mcp-use",
        "reason": "Same mcp server intent with mcp overlap."
      }
    ]
  },
  "evidence": {
    "classification": {
      "category": {
        "confidence": "high",
        "evidence": [
          "Matched \"model context protocol\" in metadata.",
          "Matched \"mcp\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "high",
        "evidence": [
          "Found Docker configuration file.",
          "Matched \"npm install\" in repository content.",
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "No Cloudflare deployment signal detected.",
          "No wrangler.toml found in inspected repository files."
        ]
      }
    },
    "quality_signal_confidence": {
      "stars_30d_delta": "estimated",
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "source_fields": [
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      "project.topics",
      "project.language",
      "project.license",
      "agent_card.summary_for_agent",
      "agent_card.use_cases",
      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
    ],
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "Partial or estimated quality signals: stars30dDelta."
    ],
    "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
    "last_verified_at": "2026-07-31T01:00:27.061Z"
  },
  "caveats": [
    "edge-only Cloudflare Workers deployment without adaptation",
    "users expecting a complete hosted product",
    "Partial or estimated quality signals: stars30dDelta."
  ],
  "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
  "source_fields": [
    "project.description",
    "project.topics",
    "project.language",
    "project.license",
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  ],
  "last_verified_at": "2026-07-31T01:00:27.061Z",
  "knowledge": {
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      "homepage_url": null,
      "description": "🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Exa), AI tools (Kagi FastGPT, Exa, Linkup), and content extraction services (Firecrawl, Tavily, Kagi). Includes GitHub search. All through a single interface.",
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        "linkup",
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        "search",
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      "stars": 339,
      "forks": 49,
      "open_issues": 2,
      "default_branch": "main",
      "created_at": "2025-03-08T17:54:53Z",
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          "project_id": "danny-avila/LibreChat",
          "reason": "Same mcp server intent with mcp overlap."
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        {
          "project_id": "can1357/oh-my-pi",
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        "contributors_90d": "complete"
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    "requested_id": "spences10/mcp-omnisearch",
    "resolved_id": "spences10/mcp-omnisearch",
    "resolution": "direct"
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    "project_count": 1009,
    "generated_at": "2026-07-31T10:57:51.312Z",
    "snapshot_id": "d1:1009:2026-07-31T10:30:16.607Z",
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