Ai·rete·rag vs Andrea9293 MCP

A side-by-side look at the Ai·rete·rag and Andrea9293 MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Ai·rete·rag logoAi·rete·ragKnowledge & Memory · Local subprocess (stdio)Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.52GoodAuth: not declaredAndrea9293 MCP logoAndrea9293 MCPKnowledge & Memory · Local subprocess (stdio)Local-first document management and semantic search for AI coding agents67GreatAuth: no auth required

Verdict: choose Ai·rete·rag for knowledge & memory work as a local process; choose Andrea9293 MCP for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Ai·rete·rag logoChoose Ai·rete·rag when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: AI_RETE_RAG_API_KEY, AI_RETE_RAG_API_URL.
  • You want tools like decide, get_parameters, list_rules.
Explore Ai·rete·rag

Andrea9293 MCP logoChoose Andrea9293 MCP when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like add_document, delete_document, search_documents.
Explore Andrea9293 MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAi·rete·rag logoAi·rete·ragAndrea9293 MCP logoAndrea9293 MCP
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal52/100 · Good67/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsAI_RETE_RAG_API_KEYAI_RETE_RAG_API_URLNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars0343
Directory activity 0 views 0 installs 0 upvotes 5 views 0 installs 0 upvotes
Tools911

Tools & capabilities

Ai·rete·rag tools 9

  • decideMake a decision in a domain — structured facts and/or free text, with optional Pattern 01 (rules scope retrieval) and Pattern 02 (retrieval into working memory). `as_of` reads the policy documents in force on an earlier day
  • get_parametersThe facts a domain's rules decide on (from your account's own rules), most decisive first — what to collect before `decide
  • list_rulesInspect a domain's rules — conditions, verdicts, salience, overlaps
  • get_rule_sourceFetch a domain's rule set as editable YAML
  • import_policy_rulesTurn a written policy document into draft rules, each citing the sentence it encodes (nothing is saved — review, then `put_rules`)
  • put_rulesCreate or replace a domain's rule set from YAML (dry_run to validate)
  • ingest_textAdd policy text to a domain's knowledge base, optionally dated (`effective_from`, `effective_until`) or replacing an earlier version (`supersedes`)
  • list_documentsBrowse a domain's ingested documents
  • get_usageCheck your plan and remaining monthly decision quota

Andrea9293 MCP tools 11

  • add_documentAdd a new document to the knowledge base
  • delete_documentDelete a document from the collection
  • search_documentsSearch for chunks within a specific document using semantic similarity. Always tell the user if result is truncated because of length. for example if you recive a message like this in the response: 'Tool response was too long and was truncated'
  • get_documentUse this tool only when user explicitly requests it. Retrieve a specific document by ID. Always tell the user if result is truncated because of length. for example if you recive a message like this in the response: 'Tool response was too long and was truncated'
  • list_documentsList all documents in the knowledge base
  • search_all_documentsSearch for relevant chunks across ALL documents in the knowledge base using semantic similarity (hybrid: full-text + vector). Useful for cross-document search when you don't know which document contains the answer.
  • get_context_windowReturns a window of parent content sections around a central parent_index. Use parent_index values from search results. Always tell the user if result is truncated because of length.
  • get_ui_urlGet the URL of the web UI. use this tool when user ask you to access the web interface, when the user ask you to upload a file or when the user ask you the uploads folder path. All these function are available in the web UI.
  • get_uploads_pathGet the absolute path to the uploads folder where you can manually place .txt and .md files
  • process_uploadsProcess all .txt and .md files in the uploads folder and create embeddings for them
  • list_uploads_filesList all files in the uploads folder with their details

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Ai·rete·rag

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "ai-rete-rag-2": {
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "YOUR_AI_RETE_RAG_API_KEY_HERE",
        "AI_RETE_RAG_API_URL": "YOUR_AI_RETE_RAG_API_URL_HERE"
      }
    }
  }
}

Andrea9293 MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "mcp-documentation-server": {
      "command": "npx",
      "args": [
        "-y",
        "@andrea9293/mcp-documentation-server"
      ]
    }
  }
}

Frequently asked questions

Ai·rete·rag is categorized under Knowledge & Memory and uses a local stdio subprocess. Andrea9293 MCP belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Ai·rete·rag for knowledge & memory work and Andrea9293 MCP for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Ai·rete·rag has no declared pricing — check the project's own site. Andrea9293 MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add ai-rete-rag-2 and mcp-documentation-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Ai·rete·rag has a quality signal of 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Andrea9293 MCP has 67/100 (Great) with 5 views, 0 installs and 343 GitHub stars.