Compatible with every major AI agent and IDE
What is the BibTeX Bibliography Parser MCP Server?
Students and researchers manage hundreds of references in .bib files. Asking Claude to reformat them manually is error-prone. This MCP parses the entire BibTeX structure using deterministic regex (zero dependencies) and delivers clean JSON entries with type, citation key, and all fields.
The Superpowers
- Zero Dependencies: Pure regex parsing, no external libs needed.
- Type Aggregation: Instantly shows how many articles, books, and proceedings you have.
- Citation Ready: Ask the AI to reformat entries in APA, IEEE, or any style.
Built-in capabilities (1)
bib file with academic references. Provide the absolute file path. Parse a BibTeX .bib bibliography file into structured JSON. Perfect for students and researchers who want to query their references with AI
Why Google ADK?
Google ADK natively supports BibTeX Bibliography Parser as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with BibTeX Bibliography Parser
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine BibTeX Bibliography Parser tools with BigQuery, Vertex AI, and Cloud Functions
BibTeX Bibliography Parser in Google ADK
BibTeX Bibliography Parser and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect BibTeX Bibliography Parser to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for BibTeX Bibliography Parser in Google ADK
The BibTeX Bibliography Parser MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
BibTeX Bibliography Parser for Google ADK
Every tool call from Google ADK to the BibTeX Bibliography Parser MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Does it handle LaTeX special characters?
It extracts the raw field values as-is. The AI can then interpret or clean LaTeX escapes like '{e} into proper Unicode.
How many entries can it handle?
It caps the output at 200 entries to protect AI context. For larger bibliographies, ask the AI to filter by type or year.
Can it detect duplicate references?
The parser extracts all entries. You can then ask the AI: 'Find duplicate titles or DOIs in my bibliography.'
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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