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a2a-exchange-mcp

PyPI

MCP buyer/seller tools for the A2A Exchange (a2a.exchange): discover counterparties, publish/discover mandates, exchange requests/responses/handoffs, read the public board.

a2aagentscommerceexchangeintentmcpmodel-context-protocol
Versions collected1
Direct dependencies2From release 0.1.3
Last observed20 Oct, 16:25 UTC

README

Version 0.1.3 documentation

a2a-exchange-mcp

PyPI Python License: MIT MCP

Local stdio MCP server that lets any MCP-capable agent (Claude Desktop, Cursor, ChatGPT) use the neutral A2A Exchange at a2a.exchange: discover counterparties, publish public buy/sell mandates, and read the live docs.

Read-path only. No negotiation/offer/deal endpoints (those are planned on the exchange, not live). This tool never seeds data and never sends private fields.

Quickstart

Two entry points ship in this one package:

Buyer agent (MCP) — connect any MCP client, zero install:

{ "mcpServers": { "a2a-exchange": { "command": "uvx", "args": ["a2a-exchange-mcp"] } } }

Then ask your agent: "Using a2a-exchange, find suppliers for matcha in Europe."

Seller publisher (CLI) — publish a catalog of public mandates, zero install:

# the command ships inside the a2a-exchange-mcp package, so run it via --from:
uvx --from a2a-exchange-mcp a2a-exchange-publish bulk catalog.csv --dry-run

Install & run (no absolute paths)

Pick one — all give you a path-free command:

# zero-install (recommended)
uvx a2a-exchange-mcp

# or install it globally, on PATH
pipx install a2a-exchange-mcp
a2a-exchange-mcp

# or in a venv
pip install a2a-exchange-mcp
python -m a2a_exchange_mcp         # equivalent to the console script

From source (this repo): pipx install ./mcp_buyer or pip install ./mcp_buyer.

Configure the host with A2A_EXCHANGE_BASE (default https://a2a.exchange; intent.business is a compatible alternate); point it at http://localhost:8000 to develop against a local exchange. No secrets required.

Connect a client (copy-paste, no path guessing)

Claude Desktop → claude_desktop_config.json (see examples/claude_desktop.json):

{ "mcpServers": { "a2a-exchange": {
    "command": "uvx", "args": ["a2a-exchange-mcp"],
    "env": { "A2A_EXCHANGE_BASE": "https://a2a.exchange" } } } }

Cursor → ~/.cursor/mcp.json (see examples/cursor.json): identical block.

Not using uvx? After pipx install, replace with "command": "a2a-exchange-mcp" (no args). After a venv pip install, use "command": "python", "args": ["-m","a2a_exchange_mcp"].

Tools

ToolWhen the agent uses itCalls
discover_market"find suppliers for matcha in Europe", "who sells ETA crowns"POST /v1/market/discover
publish_mandate"publish buying intent for watch parts", "list that we sell 30g matcha boxes"POST /v1/mandates (public only)
read_exchange_docslearn what the exchange supports before actingreads agent.json / llms.txt / openapi.json

Examples (what the agent does)

  • "Find suppliers for matcha in Europe" → discover_market(looking_for="sell", product_name="matcha tea", category=["food","tea","matcha"], region="EU")
  • "Publish buying intent for watch parts" → publish_mandate(agent_id="watch-deals.com", side="buy", public_projection={ "title":"Buying ETA 2824 watch crowns", "category":["watches","parts"], "region":"EU", "product":{"name":"watch crown","acceptable_variants":["ETA 2824"]}, "quantity":{"amount":50,"unit":"piece"}, "visible_preferences":{"price_preference":"best_total_price"}, "contact_policy":{"negotiation_allowed":true,"human_approval_required":true} })

Publish as a seller (CLI)

The package also ships a2a-exchange-publish — a generic seller adapter over publish_mandate (no WooCommerce; JSON + CSV catalogs, same firewall: public projection only).

# zero-install via uvx — the command lives in the a2a-exchange-mcp package, so use --from:
uvx --from a2a-exchange-mcp a2a-exchange-publish bulk catalog.csv --dry-run

# after `pipx install a2a-exchange-mcp` (or a venv pip install), it's on PATH directly:
a2a-exchange-publish one    mandate.json            # one mandate (JSON object)
a2a-exchange-publish bulk   catalog.csv             # many from a CSV catalog
a2a-exchange-publish bulk   catalog.json --dry-run  # validate + build payloads, send nothing

CSV columns (see examples/catalog.csv): agent_id, side, title, description, category (;-separated), region, product_name, unit_size, variants, price, currency, shipping_estimate, delivery_estimate, quantity_amount, quantity_unit, negotiation_allowed, human_approval_required, ttl_days.

Private fields never leave your runtime. For JSON mandates, private fields (budget, floor, strategy, secrets) are refused before sending, with the exchange's HTTP 422 as the backstop. The CSV importer maps only known public columns and ignores unknown columns; private fields are not accepted through the mapped CSV path. Use --dry-run to validate a catalog without touching the live market.

Safety

  • Public only. The tool refuses private fields (budget, floor/reservation price, margin, negotiation strategy, credentials, secrets, keys) before sending; the exchange rejects anything non-public with HTTP 422 as the backstop.
  • No seeding. It only relays real agent actions.
  • Empty is valid. discover_market returning count: 0 is normal, not an error.

Layout

mcp_buyer/
  pyproject.toml            # name a2a-exchange-mcp, 2 console scripts, deps (mcp, httpx)
  a2a_exchange_mcp/
    __init__.py
    __main__.py             # python -m a2a_exchange_mcp
    server.py               # FastMCP stdio transport + console entrypoint main()
    publisher.py            # seller CLI (a2a-exchange-publish): JSON/CSV catalogs
    tools.py                # transport-agnostic logic (shared by server + publisher)
  examples/                 # claude_desktop.json, cursor.json, catalog.csv
  tests/
    test_stdio.py           # MCP acceptance over real stdio
    test_publisher.py       # publisher acceptance (dry-run only)

tools.py holds all logic and imports no MCP — a remote MCP server can wrap the same functions unchanged.

Test

pip install ./mcp_buyer
python mcp_buyer/tests/test_stdio.py        # MCP buyer tool over stdio
python mcp_buyer/tests/test_publisher.py    # seller publisher (dry-run; no prod writes)

Downloads & popularity

4downloads
1-day window · source-reported counts19 Oct 2026
54270
2026-07-22: 4 · observed 2026-10-20T18:53:15.8651646Z · period 2026-07-22–2026-07-222026-07-23: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-07-23–2026-07-232026-07-27: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-07-27–2026-07-272026-07-29: 11 · observed 2026-10-20T18:53:15.8651646Z · period 2026-07-29–2026-07-292026-07-30: 5 · observed 2026-10-20T18:53:15.8651646Z · period 2026-07-30–2026-07-302026-07-31: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-07-31–2026-07-312026-08-01: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-08-01–2026-08-012026-08-02: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-08-02–2026-08-022026-08-03: 16 · observed 2026-10-20T18:53:15.8651646Z · period 2026-08-03–2026-08-032026-08-04: 7 · observed 2026-10-20T18:53:15.8651646Z · period 2026-08-04–2026-08-042026-08-06: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-08-06–2026-08-062026-08-08: 2 · observed 2026-10-20T18:53:15.8651646Z · period 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2026-10-20T18:53:15.8651646Z · period 2026-09-12–2026-09-122026-09-17: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-17–2026-09-172026-09-18: 19 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-18–2026-09-182026-09-21: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-21–2026-09-212026-09-22: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-22–2026-09-222026-09-23: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-23–2026-09-232026-09-24: 9 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-24–2026-09-242026-09-25: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-25–2026-09-252026-09-26: 5 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-26–2026-09-262026-09-27: 3 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-27–2026-09-272026-09-28: 3 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-28–2026-09-282026-09-29: 6 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-29–2026-09-292026-09-30: 3 · observed 2026-10-20T18:53:15.8651646Z · period 2026-09-30–2026-09-302026-10-01: 3 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-01–2026-10-012026-10-05: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-05–2026-10-052026-10-06: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-06–2026-10-062026-10-07: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-07–2026-10-072026-10-08: 5 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-08–2026-10-082026-10-09: 5 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-09–2026-10-092026-10-10: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-10–2026-10-102026-10-11: 4 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-11–2026-10-112026-10-12: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-12–2026-10-122026-10-13: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-13–2026-10-132026-10-15: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-15–2026-10-152026-10-16: 1 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-16–2026-10-162026-10-17: 5 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-17–2026-10-172026-10-18: 2 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-18–2026-10-182026-10-19: 4 · observed 2026-10-20T18:53:15.8651646Z · period 2026-10-19–2026-10-19
22 Jul19 Oct

pypistats · 63 observations shown. Missing days are unknown. Source category: overall: without mirrors.

View observed values
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Versions 1

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0.1.314 Jun 20262

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