Ollama Chat with MCP

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