INDIVIDUAL MCP TOOL

corpus_ingest_graph_edges_jsonl

Ingest course_content_graph edges from S3-hosted JSONL.

bakedin.conone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.bakedin-corpus]
url = "https://pantry.bakedin.co/corpus/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "bakedin-corpus": {
      "type": "http",
      "url": "https://pantry.bakedin.co/corpus/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: bakedin-corpus
Remote MCP URL: https://pantry.bakedin.co/corpus/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "bakedin-corpus": {
      "url": "https://pantry.bakedin.co/corpus/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "bakedin-corpus": {
      "type": "http",
      "url": "https://pantry.bakedin.co/corpus/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "bakedin-corpus",
  "transport": "streamable-http",
  "url": "https://pantry.bakedin.co/corpus/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

add_to_corpus — Mark license-verified papers as included in the training corpus.
analyze_papers — Extract PICO-structured claims from papers using Bedrock Haiku, then compute GRADE-lite evidence grades deterministically.
assemble_corpus — Build a CPT training corpus JSONL from extracted papers.
classify_figures — Run Bedrock Haiku classification on unclassified figures.
corpus_candidates — Papers that are license-verified and ready for corpus inclusion.
corpus_chunk_search — CHUNK-level semantic search — returns the actual paragraphs of body text most relevant to your query, with their paper context.
corpus_gap_report — Gap analysis and finish-line cost projection.
corpus_hybrid_search — BEST general-purpose search: fuses corpus_keyword_search + corpus_semantic_search via Reciprocal Rank Fusion (RRF).