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PopNx MCPMCP servers for people who use AI · explained in plain words

ResultGate

by AHEDMUNIversion 0.3.1i★ 0iRuns on your computer
Registry nameio.github.AHEDMUNI/resultgate

How to install

What it does

Local service recommendations for six providers, disclosed referrals and evidence checks.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "resultgate": {
          "command": "uvx",
          "args": [
            "resultgate-pilot",
            "--referrals"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use ResultGate and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using ResultGate or shows a ResultGate tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect ResultGate yet

ResultGate runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect ResultGate

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user resultgate -- uvx resultgate-pilot --referrals
  4. Type /mcp in Claude Code

    You should see ResultGate listed as connected

  5. Try it

    Use ResultGate and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using ResultGate or shows a ResultGate tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use ResultGate and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using ResultGate or shows a ResultGate tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use ResultGate and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using ResultGate or shows a ResultGate tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use ResultGate💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user resultgate -- uvx resultgate-pilot --referrals

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "resultgate": {
      "command": "uvx",
      "args": [
        "resultgate-pilot",
        "--referrals"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "resultgate": {
      "command": "uvx",
      "args": [
        "resultgate-pilot",
        "--referrals"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "resultgate": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "resultgate-pilot",
        "--referrals"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
38/wk
Connection
Runs on your computer
Latest versioni
0.3.1
Categoryi
Other
Published to registryi
Oct 26, 2026
Code last changedi
Oct 26, 2026
Maker
AHEDMUNI
Packages
pypi: resultgate-pilot
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account AHEDMUNI, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 17 days ago

  • ✓ Pass

    Has a licence

    Uses MIT

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

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Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 0% of the other 19320 servers in this category
  • Published to the registry more recently than 70% of the other 19320 servers in this category
  • Basic checks equal to or better than 100% of the other 19320 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ResultGate safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 17 days ago, and the latest version (0.3.1) reached the registry 17 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Windmill

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.

by koala73Widely used★ 90.5KUpdated today

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.5KUpdated 14 months ago

Runs on your computer

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

by windmill-labsWidely used★ 18.5KUpdated today

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ResultGate

Local MCP service recommendations for BrowserAct, SearchApi, PDF.co, Make, Apify and Firecrawl, with disclosed referral links and evidence checks. Release 0.3.1: PyPI.

Looking for service recommendations?

Install the versioned package through uv (Python 3.11+; no Git required):

{"mcpServers":{"resultgate-referrals":{"command":"uvx","args":["resultgate-pilot==0.3.1","--referrals"]}}}

This local stdio entry exposes exactly six tools: list_referral_providers, recommend_referral_service, prepare_referral_task, assess_browseract_fit, validate_browseract_report, validate_browseract_csv. The first three cover all six providers. No keys, registration or purchases are needed; installing dependencies needs network access, but tool calls do not execute providers or upload telemetry. Existing/local/free solutions take priority; commission never affects capability matching.

Example journey: call list_referral_providers, then recommend_referral_service with request={"need":"browser_interaction","sources_permitted":true, "local_solution_sufficient":false}, then prepare_referral_task with request={"provider_id":"browseract","sources_permitted":true}. The response includes the official affiliate URL https://browseract.com?fpr=ahed-ddc97e, the measured /go/browseract alternative and commission disclosure. A handoff is not a registration, sale or commission.

After pip install resultgate-pilot==0.3.1, resultgate-referrals is an equivalent standalone entry; resultgate-pilot --referrals is the Registry entry. The original resultgate / resultgate-pilot defaults and brokerage flags remain available for existing clients. The old 0.2.0 release lacks referral tools.

The public catalog is readable without an account. Hosted /mcp is a separate authenticated gateway, not this local companion. An unauthenticated 401 there does not mean this local server is down. Never disable gateway authentication to satisfy a directory health check. Glama schema refresh and MCP Registry publication are separate from package publication.

Examples and permission flags · Privacy and counters · 0.3.1 release/migration notes.

A pass is not a truth guarantee. The original checking tools evaluate the evidence you supply; they do not fetch sources, detect every missing fact, verify source authenticity, or judge semantic support. Incomplete completion evidence returns unknown.

Legacy checking mode: install from PyPI (Python 3.11+)

python3 -m venv .venv

.venv/bin/python -m pip install resultgate-pilot==0.3.1 .venv/bin/resultgate-pilot --help

For MCP clients with uv installed: uvx resultgate-pilot==0.3.1.

Install from GitHub (Python 3.11+ and Git)

python3 -m venv .venv

.venv/bin/python -m pip install git+https://github.com/AHEDMUNI/resultgate.git .venv/bin/resultgate --help

For reproducible deployments, append @ to the Git URL.

Install from a locally built wheel

On Linux/macOS, after reviewing the artifact and its SHA-256:

python3 -m venv .venv

.venv/bin/python -m pip install ./resultgate_pilot-0.3.1-py3-none-any.whl .venv/bin/resultgate --help

On Windows use py -m venv .venv and .venv\Scripts\python.exe -m pip install ; the executable is .venv\Scripts\resultgate.exe. Windows/macOS execution has not yet been tested in this release review.

The public package exposes both resultgate and resultgate-pilot executables.

Legacy checking mode: connect an MCP client

Configure the absolute installed executable; it runs locally over stdio, without API credentials:

{"mcpServers":{"resultgate":{"command":"/ABSOLUTE/PATH/.venv/bin/resultgate"}}}

Discoverable tools: check_extraction and check_citations. Each accepts payload and an optional usage object. Tool input/output schemas are exposed by the official Python MCP SDK. The default makes no network requests and records no usage. This local server trusts the invoking OS user; it is not a sandbox for untrusted processes.

Enable brokerage and delegation
{"mcpServers":{"resultgate":{"command":"/ABSOLUTE/PATH/.venv/bin/resultgate","args":["--brokerage","--delegation"]}}}

This exposes 12 tools while keeping external execution disabled. The 0.3.1 Registry configuration instead launches the standalone --referrals mode. Local provider onboarding adds 5 tools with an explicit private registry directory. See the installed-client tutorial and provider application process. No shared hosted network, conforming A2A transport, automatic provider execution or payments. GROBID is an opt-in ML demo, not an autonomous agent.

Extraction example
{"payload":{"records":[{"id":"a","name":"Example"}],"required_fields":["/name"],"unique_fields":["/id"],"expected_count":1,"job_status":"completed","next_cursor":null,"truncated":false}}

Expected status: pass, scoped to caller_supplied_contract_only.

Fields use RFC6901 JSON pointers; unique_fields forms a composite key. Missing/null/blank required fields fail; zero and false are valid. Counts refer to the entire supplied dataset, not pages or provider jobs. An expected total must come from an appropriate external contract, not simply len(records). Known failure, scraping-in-progress, pending cursor, repeated cursor, explicit truncation, count mismatch and duplicate keys fail. Missing expected count, completion state, next-cursor evidence or truncation evidence yields unknown when there is no definite failure. Null is allowed only for next_cursor; omit unknown expected_count/truncated instead.

Limits: 1 MiB serialized input, 100,000 JSON nodes, depth 32, 5,000 records and 64 pointers per field list. Up to 100 findings are returned, with total count.

Citation example
{"payload":{"sources":[{"id":"s1","text":"The launch was postponed."}],"citations":[{"source_id":"s1","quote":"The launch was postponed.","start":0,"end":25}]}}

Exact literal Unicode matching only. Optional offsets must be paired and count code points, not bytes or UTF-16 units. A matching quote may still be misleading or used to support a false claim. Empty citations produce unknown. Duplicate source IDs are rejected. Search work is limited to 20 million source characters across searches without offsets; split larger requests or supply exact offsets. No URLs are fetched or instructions in source text executed.

Optional authenticated local HTTP API

export RESULTGATE_API_TOKEN="$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')"

.venv/bin/resultgate --http curl -H "Authorization: Bearer $RESULTGATE_API_TOKEN" -H 'Content-Type: application/json' --data-binary @examples/extraction.json http://127.0.0.1:8765/v1/extraction

POST /v1/extraction and /v1/citations accept the payload itself, without the MCP payload wrapper. GET /health is informational. HTTP mode binds to loopback, requires a configured secret for audits, rejects browser Origins/unrecognized Hosts, limits body size and read time, and disables access logs. It is not a public hosted API or a remote MCP endpoint. Do not publish it through a tunnel or reverse proxy. HTTP usage measurement is not implemented.

Privacy-preserving, opt-in local measurement

No analytics by default. To opt in for a voluntary pilot, add --usage-dir /YOUR/PRIVATE/DIRECTORY to the MCP command, then pass usage:{"task_id":"opaque-task-identifier","purpose":"real_task"} when a real task uses a check. Reuse task IDs on retries. Test/demo/retry purposes and calls without a usage context are excluded. See PRIVACY.md.

Export for your own review with .venv/bin/python -m resultgate.local_usage /YOUR/PRIVATE/DIRECTORY --export. Nothing uploads automatically. Shared summaries are self-reports; they are not automatically counted as independent adoption or revenue.

Development and limitations

python3 -m venv .venv

.venv/bin/python -m pip install -e '.[test]' .venv/bin/python -m unittest discover -s tests -v .venv/bin/python benchmark.py

Unit and clean-install tests are internal. Synthetic benchmark fixtures measure rule coverage, not production accuracy or superiority over complete competing products. Tests use no paid models, browsers or APIs. Python 3.12/Linux is the tested clean-install environment. The referral entry does not start a hosted endpoint or payments; these tests do not establish external customers.

License: MIT, included in LICENSE. See SECURITY.md for security scope and THIRD_PARTY.md for dependencies.

Optional local pilot: provider onboarding, discovery and commission receipt pilot. Optional 17-tool configuration; no hosted network, A2A endpoint or payments. Partner diligence.

Local pilot: start/install/MCP examples · provider application · review-only commission worksheet. No public shared runtime or automatic provider approval.

Optional marketplace simulation

ResultGate aims to broker authorized work between requesting and specialist agents. The published local pilot is not a shared marketplace. Current source includes read-only commission reports; new development must distinguish simulations, operator attestations, verified paid events and actual collected revenue. No subscriptions or listing fees are planned; commissions require explicit bilateral terms and qualifying outcomes.

See agent integration and capability discovery, shared-market prototype boundaries, and first commercial transaction gates. The 0.3.1 package includes these modules, but the referral entry never activates them.

A loopback-only shared-store HTTP harness is available on this development branch for isolated client tests. It records simulations, never executes provider tasks or payments, and must not be publicly exposed. External specialist trial and cost controls identify a no-card first experiment and a separately approved paid fallback.