Skip to main content

retrieval-mcp

An MCP server for the Retrieval academic-paper API - semantic paper search, document matching, ACE journal memory, and index inventory. Self-contained: it talks to the backend over HTTP only (just mcp + httpx), so it installs anywhere with uvx / pip - no repo checkout, no GPU, no models.

By default it targets the compute box on the lab LAN (http://10.100.100.111:8000), which trusts LAN callers so no key is needed. Off-LAN, point RETRIEVAL_API_URL at the public gateway (https://retrieval.rnarket.com) and set RETRIEVAL_API_KEY (sk-...).

Tools

Every tool's full docstring (purpose + each argument with its default + an example) is what your LLM sees - call them by name. Summary:

Paper retrieval

Tool What it does
search_papers Semantic hybrid search over 95k+ top-venue CS papers (filters: venue, year, title_only)
search_within_paper Every matching passage inside one paper
match_document / match_paper Content-nearest papers to a passage / to a paper
list_conferences / corpus_stats Venue registry / corpus size

Journal work-memory (scoped to the current project by default)

Tool What it does
journal_record Record a work note (memory) or a file's current content (doc, latest-wins)
journal_search Search memory - keyword (FTS5, no embedding) or hybrid/dense/sparse
journal_recent List recent entries
journal_index_dir Batch-index a local dir's files into the journal (latest-wins per file)

Code KB (source stays local - only chunks are uploaded)

Tool What it does
index_code AST-chunk a repo locally (40+ languages) and index it, scoped to you
search_code Semantic code search with path:line citations
index_inventory Your indexed-file tree: user -> host -> project -> dir -> file

ACE playbook (accumulated, curated lessons per project)

Tool What it does
ace_context_aware / ace_playbook Retrieve relevant / list all curated bullets
ace_enhance_prompt / ace_smart_generate Attach playbook lessons to a prompt (no LLM call)
ace_smart_reflect Curate a transferable lesson into the playbook (grow-and-refine dedup)

Code KB language coverage

index_code chunks 40+ languages structurally via tree-sitter (chonkie CodeChunker): Python, TypeScript/TSX/JS/JSX (React), Java, Kotlin (incl. Jetpack Compose .kt/.kts), Swift, Go, Rust, C/C++, C#, Ruby, PHP, Lua, Scala, Dart, R, Julia, Elixir, Erlang, Haskell, OCaml, SQL, GraphQL, Protobuf, HTML, CSS/SCSS (Tailwind = CSS classes), Vue, Svelte, shell, PowerShell, Dockerfile, Terraform/HCL, CMake, YAML/JSON/TOML/XML, and more. Grammarless config/text files fall back to line-window chunks; docs (.md) and binaries are skipped (docs belong in the journal via journal_index_dir).

Install

Claude Code

# LAN (no key):
claude mcp add retrieval -- uvx --from retrieval-mcp==0.2.23 retrieval-mcp
# Off-LAN (public gateway + key):
claude mcp add retrieval \
  --env RETRIEVAL_API_URL=https://retrieval.rnarket.com \
  --env RETRIEVAL_API_KEY=sk-... \
  -- uvx --from retrieval-mcp==0.2.23 retrieval-mcp

Claude Desktop / any MCP client

claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):

{
  "mcpServers": {
    "retrieval": {
      "command": "uvx",
      "args": ["--from", "retrieval-mcp==0.2.23", "retrieval-mcp"],
      "env": {
        "RETRIEVAL_API_URL": "https://retrieval.rnarket.com",
        "RETRIEVAL_API_KEY": "sk-..."
      }
    }
  }
}

No uv? pip install retrieval-mcp then use "command": "retrieval-mcp".

Config (env)

Var Default Notes
RETRIEVAL_API_URL http://10.100.100.111:8000 LAN compute box (no key). Off-LAN, set to https://retrieval.rnarket.com.
RETRIEVAL_API_KEY - sk-... key for the gateway (create under /auth/keys). Required off-LAN.
Journal/code scope current absolute directory path The client derives scope from the directory you run or pass to each tool, so projects do not leak into each other.

License

MIT

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

retrieval_mcp-0.2.23.tar.gz (28.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

retrieval_mcp-0.2.23-py3-none-any.whl (29.4 kB view details)

Uploaded Python 3

File details

Details for the file retrieval_mcp-0.2.23.tar.gz.

File metadata

  • Download URL: retrieval_mcp-0.2.23.tar.gz
  • Upload date:
  • Size: 28.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for retrieval_mcp-0.2.23.tar.gz
Algorithm Hash digest
SHA256 f8c3d1f579529bb6beeff2cb926ea1ce660c73dc5bcadc2f5dfc3b79247e3441
MD5 e5857f5c6f62d5e93e4a6224a7a1c570
BLAKE2b-256 280102fd45084b2babf66d754493db4a88ce3f456ea9092135e22111fd4ac275

See more details on using hashes here.

File details

Details for the file retrieval_mcp-0.2.23-py3-none-any.whl.

File metadata

  • Download URL: retrieval_mcp-0.2.23-py3-none-any.whl
  • Upload date:
  • Size: 29.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for retrieval_mcp-0.2.23-py3-none-any.whl
Algorithm Hash digest
SHA256 5d74a5c8b6a6c7208e7c2e127f9ed26d320b31744100be06cedd1f384d4deb25
MD5 61188452a19cf04e78b58442b6642ca0
BLAKE2b-256 840667348e1094d73940bf0305acf8e3ad39703ca1bdb343e5e611a8ccdc3977

See more details on using hashes here.

Release history Release notifications | RSS feed

0.4.11

2 files

0.4.10

2 files

0.4.9

2 files

0.4.8

2 files

0.4.7

2 files

0.4.6

2 files

0.4.5

2 files

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.2

1 file

0.3.1

2 files

0.3.0

2 files

0.2.37

2 files

0.2.36

2 files

0.2.35

2 files

0.2.34

2 files

0.2.33

2 files

0.2.32

2 files

0.2.31

2 files

0.2.30

2 files

0.2.29

2 files

0.2.28

2 files

0.2.27

2 files

0.2.26

2 files

0.2.25

2 files

0.2.24

2 files

This release

0.2.23 This release

2 files

0.2.22

2 files

0.2.21

2 files

0.2.20

2 files

0.2.19

2 files

0.2.18

2 files

0.2.17

2 files

0.2.16

2 files

0.2.15

2 files

0.2.14

2 files

0.2.13

2 files

0.2.12

2 files

0.2.11

2 files

0.2.10

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page