synsci-delphi

Documentation

Documentation link · transport stdio

Tools

• index_repository — Index a GitHub repository (quality_mode
• index_local_folder — Index a local directory straight from disk (private/WIP code).
• quick_index — Resolve a library name via the curated catalog and index it in one step.
• catalog_search — Resolve a library/framework name to an indexable source (works cold
• search_code — Hybrid code search (vector + BM25 + symbol + path + trigram
• search_symbols — Find functions/classes/methods by name; structural extraction for 16 languages.
• get_symbol — Full symbol details plus reconstructed source body.
• find_callers — Who calls this symbol (code-dependency graph).
• find_callees — What this symbol calls — internal + external names.
• impact_analysis — Blast radius — transitive callers.
• build_code_graph — (Re)build the call graph for a repo.
• check_freshness — Is this index stale vs remote HEAD / file re-hash.
• list_stale_sources — List indexed repos whose index has drifted.
• get_file — Retrieve file content from an indexed repo.
• get_context — Fetch a chunk plus adjacent chunks and enclosing body/siblings.
• build_context_pack — Agent-ready context pack with token budgeter and re-query planner.
• get_directory_structure — Browse repository file tree.
• analyze_repository — Deep code analysis and architecture overview.
• classify_failure — Tag a Delphi failure with a stable failure-mode code.
• index_paper — Index from arXiv URL/ID or PDF upload.
• search_papers — Hybrid paper search
• extract_quoted_evidence — Pull literal sentences from a paper that ground a claim.
• joint_retrieval — One call to paper + code + Atlas-graph hits
• get_citations — Extract citation graph.
• get_equations — Extract equations with context.
• generate_report — Generate a markdown summary report.
• compare_papers — Side-by-side paper comparison.
• index_dataset — Index a HuggingFace dataset card.
• search_datasets — Semantic dataset search with cross-encoder rerank.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

curl "https://apis.io/api/v1/mcp/synsci-delphi"

curl "https://apis.io/api/v1/mcp?limit=25"