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Tashan SciSpark Research Assistant

Tashan SciSpark automates scientific paper discovery, analysis, and idea generation through integration with arXiv, Google Scholar, and multiple LLM providers including OpenAI, DeepSeek, and Gemini. The system employs a Mixture of Agents approach for collaborative idea refinement, combining Bayesian reasoning, automated feature engineering, and transformer-based analysis to generate novel research hypotheses and comprehensive paper drafts. Built with FastAPI and Celery for scalable processing, it includes specialized prompt templates for entity extraction, hypothesis generation, and technical optimization.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/daiduo2/tashan_scispark_mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve Tashan SciSpark Research Assistant from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"