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KnowledgeRadar

by ga626
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

KnowledgeRadar

KnowledgeRadar is an MCP server that gives agents a single search and perception layer across general web search, Bilibili, Xiaohongshu, Zhihu, YouTube-via-web, academic metadata, recruitment sites, webpage extraction, research planning, health checks, and runtime task status.

Quick Start

  1. Install Python 3.12 or use the bundled .python312 runtime.

  2. Copy .env.example to .env and fill only the providers you want to use.

  3. Run scripts\install.bat.

  4. Run start.cmd.

  5. Register http://127.0.0.1:18765/mcp in your agent, or use config\mcp-config-template.json.

Related MCP server: Percival Deep Research

Startup Modes

Mode

Command

Use case

Foreground HTTP

start.cmd

Local debugging; keeps logs visible in the terminal

Detached HTTP

start-knowledgeradar-server.cmd

Normal Windows startup from Explorer or scripts

Hidden HTTP

powershell -ExecutionPolicy Bypass -File start-knowledgeradar-server-hidden.ps1

Background startup without a visible console window

Stdio

set KR_MCP_TRANSPORT=stdio && python -X utf8 src\server.py

Agents that launch MCP servers directly

All startup modes read only the repository-root .env file. It is private local state and is never a source, package, or GitHub input. Logs default to runtime\logs when launched through the included scripts.

User Docs

  • docs\INSTALL.md: installation and first run.

  • docs\API_KEYS.md: provider keys and validation.

  • docs\MCP_SETUP.md: Agent configuration examples.

  • docs\ACCOUNT_SETUP.md: interactive browser login/profile setup.

  • docs\FAQ.md: common validation states and troubleshooting.

  • docs\SEARXNG.md: optional local SearXNG setup.

  • docs\PRIVACY_AND_LOCAL_STATE.md: what remains local and how public artifacts are checked.

Important Paths

Path

Purpose

Commit

src/

MCP server and collectors

Yes

config/*.example

Publishable templates

Yes

config/profile_registry.json

Local account/profile state

No

.env

API keys and private runtime settings

No

local/profiles/

Browser profile links

No

runtime/

Logs, task DBs, decision traces

No

.python312/

Optional bundled Python runtime

No

MCP Tools

The source of truth is src/server.py @mcp.tool() registrations. Current tools include:

  • expand_keywords

  • plan_research

  • analyze_decision_logs

  • get_task_status

  • kr_web_search

  • search_academic

  • extract_web_page

  • extract_dynamic_page

  • search_bilibili

  • search_xiaohongshu

  • search_zhihu

  • search_recruitment

  • get_content_detail

  • get_capabilities

  • health_check

YouTube and GitHub search are exposed through kr_web_search provider modes rather than separate public tools.

Verification

After setup, verify the installed product surface without printing secrets:

.python312\python.exe scripts\verify_api_keys.py
.python312\python.exe scripts\verify_all_capabilities.py --safe

health_check separates main production chains from optional candidates and diagnostic paths. A configured environment should have zero required main-chain FAIL and zero required main-chain NEEDS_INTERACTION in verify_all_capabilities.py --safe; declared optional providers, quota exhaustion, and designed fallback paths may be reported as EXPECTED_DEGRADED without failing the run. Login, QR-code, CAPTCHA, and similar human steps should be reported as NEEDS_INTERACTION until the user completes them.

Secrets

Never commit real API keys, tokens, cookies, browser profiles, SQLite files, or runtime logs. Put private values only in the repository-root .env.

This server cannot be installed

A
license - permissive license
-
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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