RivalSearchMCP MCP Server
by damionrashfordDeterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
RivalSearchMCP is an open-source mcp server by damionrashford, written mainly in Python, with 134 GitHub stars and the MIT license. Its code was last updated Nov 1, 2026.
Scan summary: scanned Nov 5, 2026 at commit 3540fa5. Seen able to connect to the internet. Scan policy
What RivalSearchMCP can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Seen in this scan, either in the code or while it ran.Connect to the internetContacted pypi.org
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit 3540fa5, Nov 5, 2026. See the scan policy.
Before you install RivalSearchMCP
AgenticMart scanned RivalSearchMCP on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An MCP server is a program your AI app starts and talks to. A local one runs with your user's permissions: it can see the files, environment variables and network your account can.
Before you install
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by damionrashford on GitHub, 134 stars and 22 forks. Popularity is not proof of safety.
- Last code change: Nov 1, 2026.
- Open-source license: MIT.
Tools RivalSearchMCP exposes (9)
Listed by the server itself during our scan of commit 3540fa5.
web_searchConcurrent multi-engine web search across DuckDuckGo, Bing, Yahoo, Mojeek, and Wikipedia. Results are deduplicated and merged; failures on any single engine do not block the others.
map_websiteMap and explore websites with different modes for different use cases.
content_operationsOne tool for every URL/content-level operation. Pick `operation`, provide whichever of `url`, `urls`, `content` that operation needs, and leave the rest defaulted. Parameter annotations above (visible in the MCP schema) state which operation each parameter applies to. Quick map of operation -> requ
research_topicEnd-to-end deterministic research workflow. One tool, two modes: topic - open-ended search + fetch + extract entity - unified cross-source profile of a named entity Both modes auto-attach per-result quality scores and an aggregate confidence signal so callers can calibrate trust.
scientific_researchScientific research tool for academic papers and datasets. Supports two operations: - academic_search: Search for academic papers across multiple sources - dataset_discovery: Discover datasets from various repositories Sources for academic_search (all keyless, queried concurrently): - openalex
social_searchSearch across social platforms and communities for discussions and content. Supported platforms (no authentication required): - reddit Reddit (JSON API) - hackernews Hacker News (Algolia-powered full-text search) - devto Dev.to (tag lookup + recent-articles filter) - produ
news_aggregationAggregate news from multiple keyless sources concurrently. Sources queried in parallel (all verified working, no authentication required): - Google News RSS (search, with `when:` freshness operator) - Bing News RSS (search, with age filter; uses curl subprocess because Bing rejects httpx's
github_searchSearch GitHub repositories without authentication. Searches public GitHub repositories using the public API. No authentication token required.
document_analysisDownload and analyze documents of multiple types with OCR support. Supports: PDF, Word (.docx), Text (.txt, .md), Images (.jpg, .png) with OCR. Extracts text content and metadata without requiring authentication. Automatically uses OCR for scanned PDFs and images.
Hosts it contacted while running
RivalSearchMCP is an open-source mcp server by damionrashford, written mainly in Python. Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
At a glance
- Stars
- 134
- Forks
- 22
- Language
- Python
- License
- MIT
- Created
- Aug 2025
- Last update
- Nov 1, 2026
- Type
- MCP Server
- Price
- Free
Topics
Questions about RivalSearchMCP
What is RivalSearchMCP?
Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
Who maintains RivalSearchMCP?
RivalSearchMCP is maintained by damionrashford on GitHub (damionrashford/RivalSearchMCP). AgenticMart lists it from public repository data.
Is RivalSearchMCP safe to use?
AgenticMart scanned RivalSearchMCP on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does RivalSearchMCP use?
It is published under the MIT license.
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