Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL)

Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeCan modify data

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.

    How to connect

    How to connect Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL) to Claude

    The server address to paste into Claude settings:

    https://titan-frameworks-production.up.railway.app/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL) to ChatGPT

    The server address to paste into ChatGPT settings:

    https://titan-frameworks-production.up.railway.app/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL) to Cursor

    The server address to paste into Cursor settings:

    https://titan-frameworks-production.up.railway.app/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (10)

    Raw names from tools/list. Only developers need these.

    review_framework_codeScan source against known dead APIs (LLMChain, initialize_agent, ServiceContext, ripple-lib, …) and return each hit with replacement plus a unified-diff hunk. Use before running agent-written code; diagnose_framework_error is for after a stack trace. Does not execute or submit. Paid tools/call: $0.001 USDC or 1000 drops XRP; catalog-backed, not LLM-invented.
    rewrite_framework_codeApply conservative catalog rewrites (imports/identifiers) to a snippet and return the patched file plus a full unified diff. Use when review_framework_code found hits and you want an applyable file. Leftover lists unsafe call-site transforms (e.g. LLMChain(...)) that stay for a human/agent. Does not execute or submit. Paid tools/call: $0.001 USDC or 1000 drops XRP.
    diagnose_framework_errorMatch a stack trace or exception against known deprecated APIs for langchain, llamaindex, ollama, or xrpl and return the replacement plus a fix. Use only when you have an error_log; matched=false means no catalog hit — then search_ai_framework_docs with the failing symbol. Lint source before it crashes with review_framework_code. Not for happy-path syntax (fetch_latest_syntax). Paid tools/call: $0.001 USDC or 1000 drops XRP; read-only, does not execute code.
    resolve_symbolMap an API name to the current package, install line, import, and call shape (ChatOpenAI, create_agent, VectorStoreIndex, xrpToDrops, …). Use when you know the symbol but not where it lives. Prefer search_ai_framework_docs for concepts and fetch_latest_syntax for topic snippets. Paid tools/call: $0.001 USDC or 1000 drops XRP; catalog-backed.
    fetch_working_exampleFetch one complete runnable file (filename, install/run, source) for a goal such as agent, rag, chat, payment, or rlusd. Use when fetch_latest_syntax snippets are too small to execute. matched=false means no catalog example — then fetch_latest_syntax. Paid tools/call: $0.001 USDC or 1000 drops XRP; does not execute the example.
    fetch_latest_syntaxCurated working imports, snippets, and migration notes for one topic (agents, rag, wallet, payment, trustlines, …). Use when writing or migrating a fragment; unknown topics fall back to related doc chunks instead of failing. Prefer fetch_working_example for a complete runnable file, search_ai_framework_docs for open-ended lookup, and diagnose_framework_error for exceptions. Paid tools/call: $0.001 USDC or 1000 drops XRP; read-only catalog.
    search_ai_framework_docsKeyword search over a local Markdown index for langchain, llamaindex, ollama, or xrpl; returns compact chunks and never live-crawls. Use for concepts, symbols, or questions; hitCount 0 means no match — shorten the query. Do not use for stack traces (diagnose_framework_error), import/package lookup (resolve_symbol), or copy-paste current syntax (fetch_latest_syntax). Paid tools/call: $0.001 USDC or 1000 drops XRP.
    draft_xrpl_intent_txDraft a typed xrpl.js / xrpl-py skeleton for payment, trustline, rlusd, or channel, plus required fields and common tec/tem failure codes. Use when building an XRPL tx; never submits, signs, or moves funds. Prefer fetch_working_example for a full script and review_framework_code to lint Amount/address mistakes. Paid tools/call: $0.001 USDC or 1000 drops XRP.
    list_supported_frameworksList the framework ids this server covers (langchain, llamaindex, ollama, xrpl) with display names, aliases, homepages, and catalog topics. Use when you do not know which framework string to pass. Free tools/call (no x402). Not a docs search (search_ai_framework_docs) and not a deprecation dump (list_known_deprecations). Catalog-backed.
    list_known_deprecationsReturn the known-deprecated API catalog (id, old API, replacement, fix) for one framework or all four at once. Use when you want the full deprecation list without a stack trace or source snippet. Prefer diagnose_framework_error when you have an error_log and review_framework_code when you have code. Paid tools/call: $0.001 USDC or 1000 drops XRP; catalog-backed, does not execute code.