redbuilding/ollama-chat-with-mcp
A powerful, modern UI that integrates local and hosted LLMs with intelligent web search and content extraction, SQL, YouTube transcript analysis, HubSpot actions, Python data analysis, Canva design creation, Figma design inspection, Poe multi-model AI (text, image, video, audio generation) — and a Codex MCP server for safe code scaffolding — all via the Model Context Protocol (MCP).
SETTINGS_ENCRYPTION_KEYSERPER_API_KEYSMART_EXTRACT_MAX_URLSSMART_EXTRACT_MAX_CHARS_PER_URLSMART_EXTRACT_MAX_TOTAL_CHARSSMART_EXTRACT_REQUEST_DELAYMONGODB_URIMONGODB_DATABASE_NAMEDB_HOSTDB_USERDB_PASSWORDDB_NAMEFeatures include personalized AI assistance through user profiles and conversation context, a Document Knowledge Base for persistent reference material, provider settings, multi‑provider model picking, streaming chat, persistent conversations, a robust Tasks system, and Scheduled tasks with timezone‑aware timing.
Smart Web Search: Intelligent web search with automatic content extraction from top results. Goes beyond search snippets to fetch and analyze full webpage content using advanced extraction techniques.
URL Prioritization: Smart ranking of search results based on relevance scoring, including title/snippet matching, domain authority, and search position weighting.
Polite Web Crawling: Respects robots.txt, implements rate limiting, and uses proper User-Agent identification for ethical content extraction.
User Profile & Context: Configure personal information (role, expertise, projects) and pin conversations for contextual AI assistance. The AI understands your background and can reference previous…
Goals & Priorities: Define your short-term, medium-term, and long-term goals in a structured document (up to 2000 characters) to help the AI understand your objectives and provide relevant assistance.
Proactive Agent Heartbeat: Enhanced background service with context gathering (semantic memory, git, project files, system health), automated task creation, and file-based configuration…
Conversation Pinning: Select specific conversations to include as context for future chats, enabling the AI to build upon previous discussions and maintain continuity across sessions.
Semantic Memory: Unlimited conversation storage with intelligent semantic search powered by ChromaDB and nomic-embed-text embeddings. Automatically indexes conversations with 5+ messages, searches by…
Document Knowledge Base: Upload PDFs, Word documents, Markdown files, plain text, or web URLs as persistent reference material. Documents are chunked, embedded, and stored in a dedicated ChromaDB…
AI Chat Summaries (On‑Demand): Generate concise, LLM‑authored summaries for conversations and use them as the context payload for pinned chats (no heuristics). Summaries are user‑triggered,…
Database
(1 tool): Read-only SQL queries
YouTube
(1 tool): Transcript extraction
LLM-only
(1 tool): Direct LLM generation for reasoning steps
load_csv
Load CSV data from base64 encoded strings
get_head
Display first N rows of DataFrame
get_data_info
Comprehensive DataFrame information (dtypes, memory usage, non-null counts)
get_descriptive_statistics
Statistical summary for numerical columns
check_missing_values
Identify missing values across columns
handle_missing_values
Handle missing data (drop, fill, interpolate)
convert_data_types
Safe data type conversion (datetime, category, numeric)
detect_outliers
Outlier detection using IQR or Z-score methods
filter_dataframe
Filter data using pandas query syntax with security validation
group_and_aggregate
Group by columns and apply aggregation functions
query_dataframe
Advanced DataFrame querying with new DataFrame creation
rename_columns
Rename DataFrame columns
drop_columns
Remove specified columns
get_correlation_matrix
Compute correlation matrix for numerical columns
get_value_counts
Frequency analysis for categorical columns
perform_hypothesis_test
Statistical hypothesis testing:
create_plot
Generate various plot types:
POST
api/documents/upload
GET
api/documents
DELETE
api/documents/{id}
create_design
title, preset?, width?, height?, unit?, template_id?
list_designs
limit?, page_token?
get_design
design_id
get_design_pages
design_id
export_design
design_id, format?, pages?
upload_asset
name, url
autofill_design
brand_template_id, data, title?
get_brand_template_dataset
brand_template_id
import_design
title, url, mime_type?
resize_design
design_id, width, height
presentation
Native Canva type
instagram_post
instagram_story
facebook_post
Feed posts
facebook_cover
Page cover
twitter_post
Twitter/X posts
linkedin_banner
Profile banner
Details on this page are taken from the project's README. Open README
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